Overview

Dataset statistics

Number of variables54
Number of observations1000
Missing cells2000
Missing cells (%)3.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory422.0 KiB
Average record size in memory432.1 B

Variable types

Numeric5
Unsupported2
Categorical47

Alerts

DATENT has a high cardinality: 340 distinct values High cardinality
DATSOR has a high cardinality: 342 distinct values High cardinality
PHYSOR has a high cardinality: 348 distinct values High cardinality
MDCDEN has a high cardinality: 1000 distinct values High cardinality
CODENT has a high cardinality: 1000 distinct values High cardinality
REPENT has a high cardinality: 1000 distinct values High cardinality
LIBENT has a high cardinality: 1000 distinct values High cardinality
MDCDSO has a high cardinality: 1000 distinct values High cardinality
CODSOR has a high cardinality: 1000 distinct values High cardinality
REPSOR has a high cardinality: 1000 distinct values High cardinality
LIBSOR has a high cardinality: 1000 distinct values High cardinality
MDCGST has a high cardinality: 1000 distinct values High cardinality
CGSTHI has a high cardinality: 1000 distinct values High cardinality
REPCGS has a high cardinality: 1000 distinct values High cardinality
LIBCGS has a high cardinality: 1000 distinct values High cardinality
MDRSST has a high cardinality: 1000 distinct values High cardinality
RSSTHI has a high cardinality: 1000 distinct values High cardinality
REPRSS has a high cardinality: 1000 distinct values High cardinality
LIBRSS has a high cardinality: 1000 distinct values High cardinality
MDCGSS has a high cardinality: 1000 distinct values High cardinality
CGSTAT has a high cardinality: 1000 distinct values High cardinality
REPCST has a high cardinality: 1000 distinct values High cardinality
LIBCST has a high cardinality: 1000 distinct values High cardinality
MDRSSS has a high cardinality: 1000 distinct values High cardinality
RSSTAT has a high cardinality: 1000 distinct values High cardinality
REPRST has a high cardinality: 1000 distinct values High cardinality
LIBRST has a high cardinality: 1000 distinct values High cardinality
ANCIEN has a high cardinality: 349 distinct values High cardinality
DATEUT has a high cardinality: 341 distinct values High cardinality
ANCIE3 has a high cardinality: 340 distinct values High cardinality
ANCIE4 has a high cardinality: 345 distinct values High cardinality
ANCIE5 has a high cardinality: 340 distinct values High cardinality
ANCIE6 has a high cardinality: 347 distinct values High cardinality
ANCIE7 has a high cardinality: 341 distinct values High cardinality
ANCIE8 has a high cardinality: 336 distinct values High cardinality
ANCIE9 has a high cardinality: 344 distinct values High cardinality
ANCIE0 has a high cardinality: 332 distinct values High cardinality
LIBMAT has a high cardinality: 1000 distinct values High cardinality
FILLER has a high cardinality: 1000 distinct values High cardinality
SOCCLE has a high cardinality: 1000 distinct values High cardinality
MATRIC has a high cardinality: 1000 distinct values High cardinality
IDSITU has a high cardinality: 1000 distinct values High cardinality
PERPAI has a high cardinality: 1000 distinct values High cardinality
USAGEP has a high cardinality: 1000 distinct values High cardinality
NUMTRT has a high cardinality: 1000 distinct values High cardinality
NUMBUL has a high cardinality: 1000 distinct values High cardinality
TIMEST has a high cardinality: 334 distinct values High cardinality
NUDOSS is highly correlated with NULIGN and 3 other fieldsHigh correlation
NULIGN is highly correlated with NUDOSS and 3 other fieldsHigh correlation
PGPDOS is highly correlated with NUDOSS and 3 other fieldsHigh correlation
IDGPRG is highly correlated with NUDOSS and 3 other fieldsHigh correlation
NUDOSP is highly correlated with NUDOSS and 3 other fieldsHigh correlation
NUDOSS is highly correlated with NULIGN and 3 other fieldsHigh correlation
NULIGN is highly correlated with NUDOSS and 3 other fieldsHigh correlation
PGPDOS is highly correlated with NUDOSS and 3 other fieldsHigh correlation
IDGPRG is highly correlated with NUDOSS and 3 other fieldsHigh correlation
NUDOSP is highly correlated with NUDOSS and 3 other fieldsHigh correlation
NUDOSS is highly correlated with NULIGN and 3 other fieldsHigh correlation
NULIGN is highly correlated with NUDOSS and 3 other fieldsHigh correlation
PGPDOS is highly correlated with NUDOSS and 3 other fieldsHigh correlation
IDGPRG is highly correlated with NUDOSS and 3 other fieldsHigh correlation
NUDOSP is highly correlated with NUDOSS and 3 other fieldsHigh correlation
NUDOSS is highly correlated with NULIGN and 3 other fieldsHigh correlation
NULIGN is highly correlated with NUDOSS and 3 other fieldsHigh correlation
PGPDOS is highly correlated with NUDOSS and 3 other fieldsHigh correlation
IDGPRG is highly correlated with NUDOSS and 3 other fieldsHigh correlation
NUDOSP is highly correlated with NUDOSS and 3 other fieldsHigh correlation
SOCDOS has 1000 (100.0%) missing values Missing
CODLAN has 1000 (100.0%) missing values Missing
NUDOSS is uniformly distributed Uniform
NULIGN is uniformly distributed Uniform
PGPDOS is uniformly distributed Uniform
MDCDEN is uniformly distributed Uniform
CODENT is uniformly distributed Uniform
REPENT is uniformly distributed Uniform
LIBENT is uniformly distributed Uniform
MDCDSO is uniformly distributed Uniform
CODSOR is uniformly distributed Uniform
REPSOR is uniformly distributed Uniform
LIBSOR is uniformly distributed Uniform
MDCGST is uniformly distributed Uniform
CGSTHI is uniformly distributed Uniform
REPCGS is uniformly distributed Uniform
LIBCGS is uniformly distributed Uniform
MDRSST is uniformly distributed Uniform
RSSTHI is uniformly distributed Uniform
REPRSS is uniformly distributed Uniform
LIBRSS is uniformly distributed Uniform
MDCGSS is uniformly distributed Uniform
CGSTAT is uniformly distributed Uniform
REPCST is uniformly distributed Uniform
LIBCST is uniformly distributed Uniform
MDRSSS is uniformly distributed Uniform
RSSTAT is uniformly distributed Uniform
REPRST is uniformly distributed Uniform
LIBRST is uniformly distributed Uniform
ANCIE5 is uniformly distributed Uniform
ANCIE9 is uniformly distributed Uniform
ANCIE0 is uniformly distributed Uniform
LIBMAT is uniformly distributed Uniform
FILLER is uniformly distributed Uniform
IDGPRG is uniformly distributed Uniform
SOCCLE is uniformly distributed Uniform
MATRIC is uniformly distributed Uniform
NUDOSP is uniformly distributed Uniform
IDSITU is uniformly distributed Uniform
PERPAI is uniformly distributed Uniform
USAGEP is uniformly distributed Uniform
NUMTRT is uniformly distributed Uniform
NUMBUL is uniformly distributed Uniform
TIMEST is uniformly distributed Uniform
NUDOSS has unique values Unique
NULIGN has unique values Unique
PGPDOS has unique values Unique
MDCDEN has unique values Unique
CODENT has unique values Unique
REPENT has unique values Unique
LIBENT has unique values Unique
MDCDSO has unique values Unique
CODSOR has unique values Unique
REPSOR has unique values Unique
LIBSOR has unique values Unique
MDCGST has unique values Unique
CGSTHI has unique values Unique
REPCGS has unique values Unique
LIBCGS has unique values Unique
MDRSST has unique values Unique
RSSTHI has unique values Unique
REPRSS has unique values Unique
LIBRSS has unique values Unique
MDCGSS has unique values Unique
CGSTAT has unique values Unique
REPCST has unique values Unique
LIBCST has unique values Unique
MDRSSS has unique values Unique
RSSTAT has unique values Unique
REPRST has unique values Unique
LIBRST has unique values Unique
LIBMAT has unique values Unique
FILLER has unique values Unique
IDGPRG has unique values Unique
SOCCLE has unique values Unique
MATRIC has unique values Unique
NUDOSP has unique values Unique
IDSITU has unique values Unique
PERPAI has unique values Unique
USAGEP has unique values Unique
NUMTRT has unique values Unique
NUMBUL has unique values Unique
SOCDOS is an unsupported type, check if it needs cleaning or further analysis Unsupported
CODLAN is an unsupported type, check if it needs cleaning or further analysis Unsupported

Reproduction

Analysis started2022-07-14 09:34:07.658131
Analysis finished2022-07-14 09:34:33.410120
Duration25.75 seconds
Software versionpandas-profiling v3.2.0
Download configurationconfig.json

Variables

NUDOSS
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct1000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean500.5
Minimum1
Maximum1000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.9 KiB
2022-07-14T13:34:33.521080image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile50.95
Q1250.75
median500.5
Q3750.25
95-th percentile950.05
Maximum1000
Range999
Interquartile range (IQR)499.5

Descriptive statistics

Standard deviation288.8194361
Coefficient of variation (CV)0.5770618104
Kurtosis-1.2
Mean500.5
Median Absolute Deviation (MAD)250
Skewness0
Sum500500
Variance83416.66667
MonotonicityStrictly increasing
2022-07-14T13:34:33.671856image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11
 
0.1%
6721
 
0.1%
6591
 
0.1%
6601
 
0.1%
6611
 
0.1%
6621
 
0.1%
6631
 
0.1%
6641
 
0.1%
6651
 
0.1%
6661
 
0.1%
Other values (990)990
99.0%
ValueCountFrequency (%)
11
0.1%
21
0.1%
31
0.1%
41
0.1%
51
0.1%
61
0.1%
71
0.1%
81
0.1%
91
0.1%
101
0.1%
ValueCountFrequency (%)
10001
0.1%
9991
0.1%
9981
0.1%
9971
0.1%
9961
0.1%
9951
0.1%
9941
0.1%
9931
0.1%
9921
0.1%
9911
0.1%

NULIGN
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct1000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean500.5
Minimum1
Maximum1000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.9 KiB
2022-07-14T13:34:33.831112image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile50.95
Q1250.75
median500.5
Q3750.25
95-th percentile950.05
Maximum1000
Range999
Interquartile range (IQR)499.5

Descriptive statistics

Standard deviation288.8194361
Coefficient of variation (CV)0.5770618104
Kurtosis-1.2
Mean500.5
Median Absolute Deviation (MAD)250
Skewness0
Sum500500
Variance83416.66667
MonotonicityStrictly increasing
2022-07-14T13:34:33.976635image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11
 
0.1%
6721
 
0.1%
6591
 
0.1%
6601
 
0.1%
6611
 
0.1%
6621
 
0.1%
6631
 
0.1%
6641
 
0.1%
6651
 
0.1%
6661
 
0.1%
Other values (990)990
99.0%
ValueCountFrequency (%)
11
0.1%
21
0.1%
31
0.1%
41
0.1%
51
0.1%
61
0.1%
71
0.1%
81
0.1%
91
0.1%
101
0.1%
ValueCountFrequency (%)
10001
0.1%
9991
0.1%
9981
0.1%
9971
0.1%
9961
0.1%
9951
0.1%
9941
0.1%
9931
0.1%
9921
0.1%
9911
0.1%

SOCDOS
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing1000
Missing (%)100.0%
Memory size7.9 KiB

PGPDOS
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct1000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean500.5
Minimum1
Maximum1000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.9 KiB
2022-07-14T13:34:34.121930image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile50.95
Q1250.75
median500.5
Q3750.25
95-th percentile950.05
Maximum1000
Range999
Interquartile range (IQR)499.5

Descriptive statistics

Standard deviation288.8194361
Coefficient of variation (CV)0.5770618104
Kurtosis-1.2
Mean500.5
Median Absolute Deviation (MAD)250
Skewness0
Sum500500
Variance83416.66667
MonotonicityStrictly increasing
2022-07-14T13:34:34.274847image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11
 
0.1%
6721
 
0.1%
6591
 
0.1%
6601
 
0.1%
6611
 
0.1%
6621
 
0.1%
6631
 
0.1%
6641
 
0.1%
6651
 
0.1%
6661
 
0.1%
Other values (990)990
99.0%
ValueCountFrequency (%)
11
0.1%
21
0.1%
31
0.1%
41
0.1%
51
0.1%
61
0.1%
71
0.1%
81
0.1%
91
0.1%
101
0.1%
ValueCountFrequency (%)
10001
0.1%
9991
0.1%
9981
0.1%
9971
0.1%
9961
0.1%
9951
0.1%
9941
0.1%
9931
0.1%
9921
0.1%
9911
0.1%

CODLAN
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing1000
Missing (%)100.0%
Memory size7.9 KiB

DATENT
Categorical

HIGH CARDINALITY

Distinct340
Distinct (%)34.0%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
3/14/2022
 
8
5/20/2022
 
8
7/27/2021
 
7
7/22/2021
 
7
2/25/2022
 
7
Other values (335)
963 

Length

Max length10
Median length9
Mean length8.99
Min length8

Characters and Unicode

Total characters8990
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique69 ?
Unique (%)6.9%

Sample

1st row5/12/2022
2nd row9/19/2021
3rd row3/14/2022
4th row6/26/2022
5th row3/28/2022

Common Values

ValueCountFrequency (%)
3/14/20228
 
0.8%
5/20/20228
 
0.8%
7/27/20217
 
0.7%
7/22/20217
 
0.7%
2/25/20227
 
0.7%
12/10/20217
 
0.7%
7/16/20217
 
0.7%
12/22/20217
 
0.7%
6/1/20226
 
0.6%
6/2/20226
 
0.6%
Other values (330)930
93.0%

Length

2022-07-14T13:34:34.433424image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
3/14/20228
 
0.8%
5/20/20228
 
0.8%
7/27/20217
 
0.7%
7/22/20217
 
0.7%
2/25/20227
 
0.7%
12/10/20217
 
0.7%
7/16/20217
 
0.7%
12/22/20217
 
0.7%
9/13/20216
 
0.6%
12/27/20216
 
0.6%
Other values (330)930
93.0%

Most occurring characters

ValueCountFrequency (%)
23117
34.7%
/2000
22.2%
11383
15.4%
01182
 
13.1%
3246
 
2.7%
7187
 
2.1%
6183
 
2.0%
8180
 
2.0%
5177
 
2.0%
9169
 
1.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number6990
77.8%
Other Punctuation2000
 
22.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
23117
44.6%
11383
19.8%
01182
 
16.9%
3246
 
3.5%
7187
 
2.7%
6183
 
2.6%
8180
 
2.6%
5177
 
2.5%
9169
 
2.4%
4166
 
2.4%
Other Punctuation
ValueCountFrequency (%)
/2000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common8990
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
23117
34.7%
/2000
22.2%
11383
15.4%
01182
 
13.1%
3246
 
2.7%
7187
 
2.1%
6183
 
2.0%
8180
 
2.0%
5177
 
2.0%
9169
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII8990
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
23117
34.7%
/2000
22.2%
11383
15.4%
01182
 
13.1%
3246
 
2.7%
7187
 
2.1%
6183
 
2.0%
8180
 
2.0%
5177
 
2.0%
9169
 
1.9%

DATSOR
Categorical

HIGH CARDINALITY

Distinct342
Distinct (%)34.2%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
1/12/2022
 
9
1/25/2022
 
9
5/29/2022
 
9
6/1/2022
 
7
4/11/2022
 
7
Other values (337)
959 

Length

Max length10
Median length9
Mean length8.985
Min length8

Characters and Unicode

Total characters8985
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique73 ?
Unique (%)7.3%

Sample

1st row12/17/2021
2nd row7/11/2021
3rd row3/3/2022
4th row6/1/2022
5th row1/2/2022

Common Values

ValueCountFrequency (%)
1/12/20229
 
0.9%
1/25/20229
 
0.9%
5/29/20229
 
0.9%
6/1/20227
 
0.7%
4/11/20227
 
0.7%
12/13/20217
 
0.7%
8/13/20217
 
0.7%
6/26/20227
 
0.7%
10/29/20216
 
0.6%
8/23/20216
 
0.6%
Other values (332)926
92.6%

Length

2022-07-14T13:34:34.580448image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
1/12/20229
 
0.9%
5/29/20229
 
0.9%
1/25/20229
 
0.9%
6/1/20227
 
0.7%
4/11/20227
 
0.7%
12/13/20217
 
0.7%
8/13/20217
 
0.7%
6/26/20227
 
0.7%
8/2/20216
 
0.6%
9/14/20216
 
0.6%
Other values (332)926
92.6%

Most occurring characters

ValueCountFrequency (%)
23097
34.5%
/2000
22.3%
11403
15.6%
01171
 
13.0%
3228
 
2.5%
8186
 
2.1%
5184
 
2.0%
9184
 
2.0%
6178
 
2.0%
4177
 
2.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number6985
77.7%
Other Punctuation2000
 
22.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
23097
44.3%
11403
20.1%
01171
 
16.8%
3228
 
3.3%
8186
 
2.7%
5184
 
2.6%
9184
 
2.6%
6178
 
2.5%
4177
 
2.5%
7177
 
2.5%
Other Punctuation
ValueCountFrequency (%)
/2000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common8985
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
23097
34.5%
/2000
22.3%
11403
15.6%
01171
 
13.0%
3228
 
2.5%
8186
 
2.1%
5184
 
2.0%
9184
 
2.0%
6178
 
2.0%
4177
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII8985
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
23097
34.5%
/2000
22.3%
11403
15.6%
01171
 
13.0%
3228
 
2.5%
8186
 
2.1%
5184
 
2.0%
9184
 
2.0%
6178
 
2.0%
4177
 
2.0%

PHYSOR
Categorical

HIGH CARDINALITY

Distinct348
Distinct (%)34.8%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
11/8/2021
 
10
2/13/2022
 
9
7/29/2021
 
7
9/6/2021
 
6
1/12/2022
 
6
Other values (343)
962 

Length

Max length10
Median length9
Mean length8.942
Min length8

Characters and Unicode

Total characters8942
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique72 ?
Unique (%)7.2%

Sample

1st row11/19/2021
2nd row7/16/2021
3rd row2/24/2022
4th row6/6/2022
5th row2/4/2022

Common Values

ValueCountFrequency (%)
11/8/202110
 
1.0%
2/13/20229
 
0.9%
7/29/20217
 
0.7%
9/6/20216
 
0.6%
1/12/20226
 
0.6%
3/19/20226
 
0.6%
10/24/20216
 
0.6%
3/12/20226
 
0.6%
10/10/20216
 
0.6%
9/10/20216
 
0.6%
Other values (338)932
93.2%

Length

2022-07-14T13:34:34.727370image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
11/8/202110
 
1.0%
2/13/20229
 
0.9%
7/29/20217
 
0.7%
3/25/20226
 
0.6%
9/6/20216
 
0.6%
2/26/20226
 
0.6%
5/18/20226
 
0.6%
2/20/20226
 
0.6%
10/8/20216
 
0.6%
10/5/20216
 
0.6%
Other values (338)932
93.2%

Most occurring characters

ValueCountFrequency (%)
23099
34.7%
/2000
22.4%
11340
15.0%
01188
 
13.3%
3235
 
2.6%
4192
 
2.1%
8184
 
2.1%
7182
 
2.0%
5177
 
2.0%
6174
 
1.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number6942
77.6%
Other Punctuation2000
 
22.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
23099
44.6%
11340
19.3%
01188
 
17.1%
3235
 
3.4%
4192
 
2.8%
8184
 
2.7%
7182
 
2.6%
5177
 
2.5%
6174
 
2.5%
9171
 
2.5%
Other Punctuation
ValueCountFrequency (%)
/2000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common8942
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
23099
34.7%
/2000
22.4%
11340
15.0%
01188
 
13.3%
3235
 
2.6%
4192
 
2.1%
8184
 
2.1%
7182
 
2.0%
5177
 
2.0%
6174
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII8942
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
23099
34.7%
/2000
22.4%
11340
15.0%
01188
 
13.3%
3235
 
2.6%
4192
 
2.1%
8184
 
2.1%
7182
 
2.0%
5177
 
2.0%
6174
 
1.9%

MDCDEN
Categorical

HIGH CARDINALITY
UNIFORM
UNIQUE

Distinct1000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
DktAHiiHLeI6QKniCv
 
1
qOLHHNzFUPnJg7fGX2
 
1
mHyXWTtETfEolJPsiQ
 
1
dEGgge8mdNTvEwix6A
 
1
qNH3nC92KIl6hOP3em
 
1
Other values (995)
995 

Length

Max length18
Median length18
Mean length18
Min length18

Characters and Unicode

Total characters18000
Distinct characters62
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1000 ?
Unique (%)100.0%

Sample

1st rowDktAHiiHLeI6QKniCv
2nd rowjywarHNt8k5CitozBS
3rd rowtY6d8RK3F8US6XwFdz
4th roww53sBgvAxQLxWgcSvb
5th rowRF1BF9cuhCTjnN7dyg

Common Values

ValueCountFrequency (%)
DktAHiiHLeI6QKniCv1
 
0.1%
qOLHHNzFUPnJg7fGX21
 
0.1%
mHyXWTtETfEolJPsiQ1
 
0.1%
dEGgge8mdNTvEwix6A1
 
0.1%
qNH3nC92KIl6hOP3em1
 
0.1%
aI8MaOXviyWZ06lmjc1
 
0.1%
XAAUGqPwvbzCrnFWlr1
 
0.1%
cjbT915wCewpXXNrab1
 
0.1%
yKgffV61bOSNW2UA8H1
 
0.1%
mx9PG2a6oDnYsz9xth1
 
0.1%
Other values (990)990
99.0%

Length

2022-07-14T13:34:34.862576image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
dktahiihlei6qknicv1
 
0.1%
ratexzlufbex3iqzfo1
 
0.1%
dndcjuakx36lnf4wst1
 
0.1%
mqybqwwft1fc07mmem1
 
0.1%
ty6d8rk3f8us6xwfdz1
 
0.1%
w53sbgvaxqlxwgcsvb1
 
0.1%
rf1bf9cuhctjnn7dyg1
 
0.1%
1akxvtjloxpcxnljku1
 
0.1%
n5vdxkzfpes0ydxawt1
 
0.1%
kyohju5fkn1i5yxivp1
 
0.1%
Other values (990)990
99.0%

Most occurring characters

ValueCountFrequency (%)
n327
 
1.8%
K317
 
1.8%
S314
 
1.7%
W313
 
1.7%
6313
 
1.7%
M312
 
1.7%
E308
 
1.7%
l307
 
1.7%
j305
 
1.7%
x305
 
1.7%
Other values (52)14879
82.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter7607
42.3%
Uppercase Letter7501
41.7%
Decimal Number2892
 
16.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
n327
 
4.3%
l307
 
4.0%
j305
 
4.0%
x305
 
4.0%
u304
 
4.0%
z301
 
4.0%
h300
 
3.9%
d300
 
3.9%
r298
 
3.9%
g297
 
3.9%
Other values (16)4563
60.0%
Uppercase Letter
ValueCountFrequency (%)
K317
 
4.2%
S314
 
4.2%
W313
 
4.2%
M312
 
4.2%
E308
 
4.1%
J304
 
4.1%
Q303
 
4.0%
H302
 
4.0%
C301
 
4.0%
R296
 
3.9%
Other values (16)4431
59.1%
Decimal Number
ValueCountFrequency (%)
6313
10.8%
9303
10.5%
4302
10.4%
0294
10.2%
8291
10.1%
1288
10.0%
5282
9.8%
7278
9.6%
3275
9.5%
2266
9.2%

Most occurring scripts

ValueCountFrequency (%)
Latin15108
83.9%
Common2892
 
16.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
n327
 
2.2%
K317
 
2.1%
S314
 
2.1%
W313
 
2.1%
M312
 
2.1%
E308
 
2.0%
l307
 
2.0%
j305
 
2.0%
x305
 
2.0%
J304
 
2.0%
Other values (42)11996
79.4%
Common
ValueCountFrequency (%)
6313
10.8%
9303
10.5%
4302
10.4%
0294
10.2%
8291
10.1%
1288
10.0%
5282
9.8%
7278
9.6%
3275
9.5%
2266
9.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII18000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
n327
 
1.8%
K317
 
1.8%
S314
 
1.7%
W313
 
1.7%
6313
 
1.7%
M312
 
1.7%
E308
 
1.7%
l307
 
1.7%
j305
 
1.7%
x305
 
1.7%
Other values (52)14879
82.7%

CODENT
Categorical

HIGH CARDINALITY
UNIFORM
UNIQUE

Distinct1000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
4QKascLooDncbei4Bw
 
1
xKVdiAKZusM5xuITZu
 
1
fxHXAUiMNsODQt98r3
 
1
WdEVReyZkLIDBPyIbD
 
1
B2Y1YJXPoLW8K6YWb2
 
1
Other values (995)
995 

Length

Max length18
Median length18
Mean length18
Min length18

Characters and Unicode

Total characters18000
Distinct characters62
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1000 ?
Unique (%)100.0%

Sample

1st row4QKascLooDncbei4Bw
2nd rowRrIbk8ItnTcR3OwT2D
3rd rowy42AHO3mt4zYcmembh
4th rowVzUSD5jSEYJbyuakcM
5th rowq86ttPDtZKaGqs8iK0

Common Values

ValueCountFrequency (%)
4QKascLooDncbei4Bw1
 
0.1%
xKVdiAKZusM5xuITZu1
 
0.1%
fxHXAUiMNsODQt98r31
 
0.1%
WdEVReyZkLIDBPyIbD1
 
0.1%
B2Y1YJXPoLW8K6YWb21
 
0.1%
a5y2F9KzJvZTdIao1z1
 
0.1%
TeWPdYXWXRZKHhCY7k1
 
0.1%
BiLtTkfQUhZyUfe5QD1
 
0.1%
ukruO8NJw1Q6f3vv3C1
 
0.1%
PBPMTbk6NCyu7t1hQ81
 
0.1%
Other values (990)990
99.0%

Length

2022-07-14T13:34:34.981022image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
4qkascloodncbei4bw1
 
0.1%
wr0a9in9v8o1d9pnw01
 
0.1%
2tegtmkay87wdai39u1
 
0.1%
bxahn7ivizqppbykez1
 
0.1%
y42aho3mt4zycmembh1
 
0.1%
vzusd5jseyjbyuakcm1
 
0.1%
q86ttpdtzkagqs8ik01
 
0.1%
vm8qdlbshtldhvnzvr1
 
0.1%
m8ycqpkra3wu3kbedy1
 
0.1%
aiwd0wk4efeci1xrwl1
 
0.1%
Other values (990)990
99.0%

Most occurring characters

ValueCountFrequency (%)
d325
 
1.8%
S321
 
1.8%
W312
 
1.7%
X312
 
1.7%
3311
 
1.7%
V311
 
1.7%
y311
 
1.7%
b310
 
1.7%
5310
 
1.7%
Z310
 
1.7%
Other values (52)14867
82.6%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter7603
42.2%
Lowercase Letter7515
41.8%
Decimal Number2882
 
16.0%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
d325
 
4.3%
y311
 
4.1%
b310
 
4.1%
m303
 
4.0%
q301
 
4.0%
t299
 
4.0%
s299
 
4.0%
a298
 
4.0%
j296
 
3.9%
w296
 
3.9%
Other values (16)4477
59.6%
Uppercase Letter
ValueCountFrequency (%)
S321
 
4.2%
W312
 
4.1%
X312
 
4.1%
V311
 
4.1%
Z310
 
4.1%
L309
 
4.1%
H303
 
4.0%
T299
 
3.9%
M297
 
3.9%
J296
 
3.9%
Other values (16)4533
59.6%
Decimal Number
ValueCountFrequency (%)
3311
10.8%
5310
10.8%
9306
10.6%
1302
10.5%
0292
10.1%
7289
10.0%
4274
9.5%
2271
9.4%
6268
9.3%
8259
9.0%

Most occurring scripts

ValueCountFrequency (%)
Latin15118
84.0%
Common2882
 
16.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
d325
 
2.1%
S321
 
2.1%
W312
 
2.1%
X312
 
2.1%
V311
 
2.1%
y311
 
2.1%
b310
 
2.1%
Z310
 
2.1%
L309
 
2.0%
m303
 
2.0%
Other values (42)11994
79.3%
Common
ValueCountFrequency (%)
3311
10.8%
5310
10.8%
9306
10.6%
1302
10.5%
0292
10.1%
7289
10.0%
4274
9.5%
2271
9.4%
6268
9.3%
8259
9.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII18000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
d325
 
1.8%
S321
 
1.8%
W312
 
1.7%
X312
 
1.7%
3311
 
1.7%
V311
 
1.7%
y311
 
1.7%
b310
 
1.7%
5310
 
1.7%
Z310
 
1.7%
Other values (52)14867
82.6%

REPENT
Categorical

HIGH CARDINALITY
UNIFORM
UNIQUE

Distinct1000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
n4q53D41HBHRuk3qoM
 
1
NVUE7bvn5i0futezmP
 
1
yYQa30pdi8TSIjqDBS
 
1
u0ZGK19fq7VB8LBicN
 
1
f3F84ibAh2KCn7cHqh
 
1
Other values (995)
995 

Length

Max length18
Median length18
Mean length18
Min length18

Characters and Unicode

Total characters18000
Distinct characters62
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1000 ?
Unique (%)100.0%

Sample

1st rown4q53D41HBHRuk3qoM
2nd rowP6HDzksWmcuWyVBGsR
3rd rowc9rDkB0lG9HYV8XhyT
4th rowQa9FZifjqdlJaE2kfu
5th rowODWnaoPoQXyaUYm16t

Common Values

ValueCountFrequency (%)
n4q53D41HBHRuk3qoM1
 
0.1%
NVUE7bvn5i0futezmP1
 
0.1%
yYQa30pdi8TSIjqDBS1
 
0.1%
u0ZGK19fq7VB8LBicN1
 
0.1%
f3F84ibAh2KCn7cHqh1
 
0.1%
li3f8EID21QnfrLDuL1
 
0.1%
YahVoiRMAZpl5ciiGA1
 
0.1%
mbaaj1SKk4Ng60RHlr1
 
0.1%
4IqUhrGZf8MKEfFFzJ1
 
0.1%
jaAIf4SQjum1SRm8xK1
 
0.1%
Other values (990)990
99.0%

Length

2022-07-14T13:34:35.099130image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
n4q53d41hbhruk3qom1
 
0.1%
fljcllajq6tzarfebh1
 
0.1%
yso4ykjuxvf4oewsly1
 
0.1%
aqatswfpuiitpcwzoy1
 
0.1%
c9rdkb0lg9hyv8xhyt1
 
0.1%
qa9fzifjqdljae2kfu1
 
0.1%
odwnaopoqxyauym16t1
 
0.1%
puja11rzmyiiymyxng1
 
0.1%
wsqgu9d8efpjhv0nex1
 
0.1%
9w0wtmho5bsxmzedsm1
 
0.1%
Other values (990)990
99.0%

Most occurring characters

ValueCountFrequency (%)
n324
 
1.8%
Y317
 
1.8%
U317
 
1.8%
c316
 
1.8%
2313
 
1.7%
4312
 
1.7%
L312
 
1.7%
I311
 
1.7%
X308
 
1.7%
s308
 
1.7%
Other values (52)14862
82.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter7581
42.1%
Uppercase Letter7553
42.0%
Decimal Number2866
 
15.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
n324
 
4.3%
c316
 
4.2%
s308
 
4.1%
x305
 
4.0%
q305
 
4.0%
l304
 
4.0%
j304
 
4.0%
a296
 
3.9%
w296
 
3.9%
v296
 
3.9%
Other values (16)4527
59.7%
Uppercase Letter
ValueCountFrequency (%)
Y317
 
4.2%
U317
 
4.2%
L312
 
4.1%
I311
 
4.1%
X308
 
4.1%
Z302
 
4.0%
P297
 
3.9%
T296
 
3.9%
B293
 
3.9%
K292
 
3.9%
Other values (16)4508
59.7%
Decimal Number
ValueCountFrequency (%)
2313
10.9%
4312
10.9%
9299
10.4%
5297
10.4%
0296
10.3%
3286
10.0%
1279
9.7%
8278
9.7%
6254
8.9%
7252
8.8%

Most occurring scripts

ValueCountFrequency (%)
Latin15134
84.1%
Common2866
 
15.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
n324
 
2.1%
Y317
 
2.1%
U317
 
2.1%
c316
 
2.1%
L312
 
2.1%
I311
 
2.1%
X308
 
2.0%
s308
 
2.0%
x305
 
2.0%
q305
 
2.0%
Other values (42)12011
79.4%
Common
ValueCountFrequency (%)
2313
10.9%
4312
10.9%
9299
10.4%
5297
10.4%
0296
10.3%
3286
10.0%
1279
9.7%
8278
9.7%
6254
8.9%
7252
8.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII18000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
n324
 
1.8%
Y317
 
1.8%
U317
 
1.8%
c316
 
1.8%
2313
 
1.7%
4312
 
1.7%
L312
 
1.7%
I311
 
1.7%
X308
 
1.7%
s308
 
1.7%
Other values (52)14862
82.6%

LIBENT
Categorical

HIGH CARDINALITY
UNIFORM
UNIQUE

Distinct1000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
RIKVUG9AK11lYQml5H
 
1
l8RuJ3eneYVuXmTf8u
 
1
hBBjQZRVT8uZIgWxRu
 
1
2A56wyCz8NslJhB72C
 
1
oMe4TTOItsj3DbypFF
 
1
Other values (995)
995 

Length

Max length18
Median length18
Mean length18
Min length18

Characters and Unicode

Total characters18000
Distinct characters62
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1000 ?
Unique (%)100.0%

Sample

1st rowRIKVUG9AK11lYQml5H
2nd rowkVwhqX1AD1bEJdEAke
3rd rowwJusbiv6ZXeJCr5CSW
4th row7mSFPXa7AAFYOorItZ
5th rows6qZhc2Xrxo8qbeZY7

Common Values

ValueCountFrequency (%)
RIKVUG9AK11lYQml5H1
 
0.1%
l8RuJ3eneYVuXmTf8u1
 
0.1%
hBBjQZRVT8uZIgWxRu1
 
0.1%
2A56wyCz8NslJhB72C1
 
0.1%
oMe4TTOItsj3DbypFF1
 
0.1%
uQzF6wNKQnFDLSsHvz1
 
0.1%
QN7OVS8j7tqmFmbyJ71
 
0.1%
bLOCkJCnEp6BiUBivb1
 
0.1%
hTLwhLNWy26xpHgF5D1
 
0.1%
6sLnPI6vdmsjyafTNW1
 
0.1%
Other values (990)990
99.0%

Length

2022-07-14T13:34:35.216009image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
rikvug9ak11lyqml5h1
 
0.1%
mxhgfuzijjcyqueb7c1
 
0.1%
yieanbfdzqjvm4qktq1
 
0.1%
imiuopn7uy72q37f8z1
 
0.1%
wjusbiv6zxejcr5csw1
 
0.1%
7msfpxa7aafyooritz1
 
0.1%
s6qzhc2xrxo8qbezy71
 
0.1%
okordis9vjy4dpelca1
 
0.1%
3rd45rarsetcg2lxmq1
 
0.1%
3y4sropanzzo4nyqim1
 
0.1%
Other values (990)990
99.0%

Most occurring characters

ValueCountFrequency (%)
b337
 
1.9%
I324
 
1.8%
o324
 
1.8%
l322
 
1.8%
F320
 
1.8%
n319
 
1.8%
B313
 
1.7%
q312
 
1.7%
H311
 
1.7%
c310
 
1.7%
Other values (52)14808
82.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter7598
42.2%
Uppercase Letter7585
42.1%
Decimal Number2817
 
15.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
b337
 
4.4%
o324
 
4.3%
l322
 
4.2%
n319
 
4.2%
q312
 
4.1%
c310
 
4.1%
k309
 
4.1%
d307
 
4.0%
j302
 
4.0%
m301
 
4.0%
Other values (16)4455
58.6%
Uppercase Letter
ValueCountFrequency (%)
I324
 
4.3%
F320
 
4.2%
B313
 
4.1%
H311
 
4.1%
T304
 
4.0%
J304
 
4.0%
W302
 
4.0%
N300
 
4.0%
U295
 
3.9%
Z295
 
3.9%
Other values (16)4517
59.6%
Decimal Number
ValueCountFrequency (%)
8298
10.6%
7295
10.5%
5284
10.1%
0284
10.1%
4281
10.0%
3279
9.9%
6278
9.9%
1277
9.8%
2273
9.7%
9268
9.5%

Most occurring scripts

ValueCountFrequency (%)
Latin15183
84.4%
Common2817
 
15.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
b337
 
2.2%
I324
 
2.1%
o324
 
2.1%
l322
 
2.1%
F320
 
2.1%
n319
 
2.1%
B313
 
2.1%
q312
 
2.1%
H311
 
2.0%
c310
 
2.0%
Other values (42)11991
79.0%
Common
ValueCountFrequency (%)
8298
10.6%
7295
10.5%
5284
10.1%
0284
10.1%
4281
10.0%
3279
9.9%
6278
9.9%
1277
9.8%
2273
9.7%
9268
9.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII18000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
b337
 
1.9%
I324
 
1.8%
o324
 
1.8%
l322
 
1.8%
F320
 
1.8%
n319
 
1.8%
B313
 
1.7%
q312
 
1.7%
H311
 
1.7%
c310
 
1.7%
Other values (52)14808
82.3%

MDCDSO
Categorical

HIGH CARDINALITY
UNIFORM
UNIQUE

Distinct1000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
vjkNdfjqE1saAKltv6
 
1
4fSHk75U0pxhCHKVhX
 
1
fveXVbDjhlsxxG27Ot
 
1
bism0LlwK6by2wparo
 
1
5huBh7p2t7RCqWVh5y
 
1
Other values (995)
995 

Length

Max length18
Median length18
Mean length18
Min length18

Characters and Unicode

Total characters18000
Distinct characters62
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1000 ?
Unique (%)100.0%

Sample

1st rowvjkNdfjqE1saAKltv6
2nd rowrAr7r8Oftf5wTeGBJW
3rd rowfrRsQFOTkw0IV0oWsO
4th rowgdEfBIhVQtWPY7kVjQ
5th rowsExE700sZuRC7FmYqB

Common Values

ValueCountFrequency (%)
vjkNdfjqE1saAKltv61
 
0.1%
4fSHk75U0pxhCHKVhX1
 
0.1%
fveXVbDjhlsxxG27Ot1
 
0.1%
bism0LlwK6by2wparo1
 
0.1%
5huBh7p2t7RCqWVh5y1
 
0.1%
YHUE3x3k9e1baXx4E91
 
0.1%
VfUXU1CKjGmng0WkHJ1
 
0.1%
zQ8Hs8qjAwLOJrJbce1
 
0.1%
mTJo9VAn3Qn3sT81rh1
 
0.1%
h3AZG3pHXOTm7pRIbS1
 
0.1%
Other values (990)990
99.0%

Length

2022-07-14T13:34:35.484640image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
vjkndfjqe1saakltv61
 
0.1%
4ubkqzff2bi8tplkpk1
 
0.1%
qmc2iik67wbsywldbc1
 
0.1%
lljpu47gama9neb3jx1
 
0.1%
frrsqfotkw0iv0owso1
 
0.1%
gdefbihvqtwpy7kvjq1
 
0.1%
sexe700szurc7fmyqb1
 
0.1%
n97xzyhkxmqynw44sh1
 
0.1%
zavz37vfgh9nwzhvxe1
 
0.1%
v6f9uhd7zdc5kbpmzn1
 
0.1%
Other values (990)990
99.0%

Most occurring characters

ValueCountFrequency (%)
N329
 
1.8%
G321
 
1.8%
4315
 
1.8%
1312
 
1.7%
8312
 
1.7%
q310
 
1.7%
O306
 
1.7%
B305
 
1.7%
w304
 
1.7%
t303
 
1.7%
Other values (52)14883
82.7%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter7583
42.1%
Lowercase Letter7498
41.7%
Decimal Number2919
 
16.2%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
N329
 
4.3%
G321
 
4.2%
O306
 
4.0%
B305
 
4.0%
R301
 
4.0%
Z299
 
3.9%
J297
 
3.9%
E295
 
3.9%
K293
 
3.9%
Y292
 
3.9%
Other values (16)4545
59.9%
Lowercase Letter
ValueCountFrequency (%)
q310
 
4.1%
w304
 
4.1%
t303
 
4.0%
r299
 
4.0%
n298
 
4.0%
p298
 
4.0%
m296
 
3.9%
f296
 
3.9%
h295
 
3.9%
d295
 
3.9%
Other values (16)4504
60.1%
Decimal Number
ValueCountFrequency (%)
4315
10.8%
1312
10.7%
8312
10.7%
9298
10.2%
3296
10.1%
7292
10.0%
5288
9.9%
6273
9.4%
0269
9.2%
2264
9.0%

Most occurring scripts

ValueCountFrequency (%)
Latin15081
83.8%
Common2919
 
16.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
N329
 
2.2%
G321
 
2.1%
q310
 
2.1%
O306
 
2.0%
B305
 
2.0%
w304
 
2.0%
t303
 
2.0%
R301
 
2.0%
Z299
 
2.0%
r299
 
2.0%
Other values (42)12004
79.6%
Common
ValueCountFrequency (%)
4315
10.8%
1312
10.7%
8312
10.7%
9298
10.2%
3296
10.1%
7292
10.0%
5288
9.9%
6273
9.4%
0269
9.2%
2264
9.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII18000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
N329
 
1.8%
G321
 
1.8%
4315
 
1.8%
1312
 
1.7%
8312
 
1.7%
q310
 
1.7%
O306
 
1.7%
B305
 
1.7%
w304
 
1.7%
t303
 
1.7%
Other values (52)14883
82.7%

CODSOR
Categorical

HIGH CARDINALITY
UNIFORM
UNIQUE

Distinct1000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
NAv6Xya8Y0ED1etYiR
 
1
e5ci7oKKfLrBTIw6mS
 
1
RU0YYEGLyNXT0a62tC
 
1
4zroUmZL8UgHbUX2sV
 
1
1KoloiWqmwyq956CgL
 
1
Other values (995)
995 

Length

Max length18
Median length18
Mean length18
Min length18

Characters and Unicode

Total characters18000
Distinct characters62
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1000 ?
Unique (%)100.0%

Sample

1st rowNAv6Xya8Y0ED1etYiR
2nd rowKD0KJ3beYCQ6kssd58
3rd rowIJslaIq2Fo9GmV1fKL
4th rowKPpYXQTARZqAw2iuC1
5th rowgJyfW0YJSBDWwOmPma

Common Values

ValueCountFrequency (%)
NAv6Xya8Y0ED1etYiR1
 
0.1%
e5ci7oKKfLrBTIw6mS1
 
0.1%
RU0YYEGLyNXT0a62tC1
 
0.1%
4zroUmZL8UgHbUX2sV1
 
0.1%
1KoloiWqmwyq956CgL1
 
0.1%
J3SvCdn3YoY2KU6yzq1
 
0.1%
51R2q40Lyt8g7yXONx1
 
0.1%
gIRSX8c4SkYttDaOP11
 
0.1%
JHyDcrYQNV02Wolz681
 
0.1%
SWZtFWvUCoUksx7MzR1
 
0.1%
Other values (990)990
99.0%

Length

2022-07-14T13:34:35.601296image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
nav6xya8y0ed1etyir1
 
0.1%
beh25o0zyu40arxcf81
 
0.1%
vnmxjafolydsvbdtk31
 
0.1%
gz0y32qxinhjslrhwi1
 
0.1%
ijslaiq2fo9gmv1fkl1
 
0.1%
kppyxqtarzqaw2iuc11
 
0.1%
gjyfw0yjsbdwwompma1
 
0.1%
10vb3pqjuvwnewub421
 
0.1%
6fsjedwj4psfiwonq91
 
0.1%
44xy4ets4c5yiqy3sd1
 
0.1%
Other values (990)990
99.0%

Most occurring characters

ValueCountFrequency (%)
y318
 
1.8%
2317
 
1.8%
6315
 
1.8%
K315
 
1.8%
a314
 
1.7%
O314
 
1.7%
d313
 
1.7%
R312
 
1.7%
w312
 
1.7%
s310
 
1.7%
Other values (52)14860
82.6%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter7547
41.9%
Lowercase Letter7544
41.9%
Decimal Number2909
 
16.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
y318
 
4.2%
a314
 
4.2%
d313
 
4.1%
w312
 
4.1%
s310
 
4.1%
x306
 
4.1%
h303
 
4.0%
k299
 
4.0%
u298
 
4.0%
m296
 
3.9%
Other values (16)4475
59.3%
Uppercase Letter
ValueCountFrequency (%)
K315
 
4.2%
O314
 
4.2%
R312
 
4.1%
D309
 
4.1%
G308
 
4.1%
B307
 
4.1%
V307
 
4.1%
F304
 
4.0%
I300
 
4.0%
W298
 
3.9%
Other values (16)4473
59.3%
Decimal Number
ValueCountFrequency (%)
2317
10.9%
6315
10.8%
1303
10.4%
8302
10.4%
4292
10.0%
0288
9.9%
5283
9.7%
9274
9.4%
7268
9.2%
3267
9.2%

Most occurring scripts

ValueCountFrequency (%)
Latin15091
83.8%
Common2909
 
16.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
y318
 
2.1%
K315
 
2.1%
a314
 
2.1%
O314
 
2.1%
d313
 
2.1%
R312
 
2.1%
w312
 
2.1%
s310
 
2.1%
D309
 
2.0%
G308
 
2.0%
Other values (42)11966
79.3%
Common
ValueCountFrequency (%)
2317
10.9%
6315
10.8%
1303
10.4%
8302
10.4%
4292
10.0%
0288
9.9%
5283
9.7%
9274
9.4%
7268
9.2%
3267
9.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII18000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
y318
 
1.8%
2317
 
1.8%
6315
 
1.8%
K315
 
1.8%
a314
 
1.7%
O314
 
1.7%
d313
 
1.7%
R312
 
1.7%
w312
 
1.7%
s310
 
1.7%
Other values (52)14860
82.6%

REPSOR
Categorical

HIGH CARDINALITY
UNIFORM
UNIQUE

Distinct1000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
JmwHsADGi8MOeM4cV0
 
1
MKHC81sTVqOlgRzZx0
 
1
fnigzt733ecChngEfr
 
1
2u2BtHcotfAwMyaLB1
 
1
UnrZ6ymEWRWULSXQfx
 
1
Other values (995)
995 

Length

Max length18
Median length18
Mean length18
Min length18

Characters and Unicode

Total characters18000
Distinct characters62
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1000 ?
Unique (%)100.0%

Sample

1st rowJmwHsADGi8MOeM4cV0
2nd rowbPXMhMX4EpDodzpqsO
3rd rowzdgMs8Uy6C1hxXfVd1
4th row6vMDbTeMbNvdr4K2QK
5th rowznJx03MZgH9YOBBvkG

Common Values

ValueCountFrequency (%)
JmwHsADGi8MOeM4cV01
 
0.1%
MKHC81sTVqOlgRzZx01
 
0.1%
fnigzt733ecChngEfr1
 
0.1%
2u2BtHcotfAwMyaLB11
 
0.1%
UnrZ6ymEWRWULSXQfx1
 
0.1%
tKcyJe1AyeX6cZxhrl1
 
0.1%
XTLLRpuwB5FmxPloZW1
 
0.1%
cG9yvddTnK3fSZXMup1
 
0.1%
CSkRBdr5jxUoywcsMj1
 
0.1%
KfU5JTYd5AQsghwOJd1
 
0.1%
Other values (990)990
99.0%

Length

2022-07-14T13:34:35.722865image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
jmwhsadgi8moem4cv01
 
0.1%
wduqga50xcx9x2obj01
 
0.1%
dap17gqmzxpnmnifte1
 
0.1%
elsvnssaj89vm3mwal1
 
0.1%
zdgms8uy6c1hxxfvd11
 
0.1%
6vmdbtembnvdr4k2qk1
 
0.1%
znjx03mzgh9yobbvkg1
 
0.1%
hiwkpj3sdcdhplglt71
 
0.1%
gy4vd31dplk29o0mgr1
 
0.1%
ppnopm8ueg4wgclzhs1
 
0.1%
Other values (990)990
99.0%

Most occurring characters

ValueCountFrequency (%)
7334
 
1.9%
M322
 
1.8%
f316
 
1.8%
c316
 
1.8%
I314
 
1.7%
G313
 
1.7%
v312
 
1.7%
8312
 
1.7%
T312
 
1.7%
N311
 
1.7%
Other values (52)14838
82.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter7555
42.0%
Uppercase Letter7531
41.8%
Decimal Number2914
 
16.2%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
M322
 
4.3%
I314
 
4.2%
G313
 
4.2%
T312
 
4.1%
N311
 
4.1%
D302
 
4.0%
Q297
 
3.9%
K297
 
3.9%
V296
 
3.9%
L295
 
3.9%
Other values (16)4472
59.4%
Lowercase Letter
ValueCountFrequency (%)
f316
 
4.2%
c316
 
4.2%
v312
 
4.1%
m307
 
4.1%
u306
 
4.1%
q306
 
4.1%
h304
 
4.0%
y302
 
4.0%
n299
 
4.0%
x296
 
3.9%
Other values (16)4491
59.4%
Decimal Number
ValueCountFrequency (%)
7334
11.5%
8312
10.7%
3304
10.4%
5297
10.2%
9289
9.9%
1282
9.7%
2277
9.5%
6275
9.4%
0272
9.3%
4272
9.3%

Most occurring scripts

ValueCountFrequency (%)
Latin15086
83.8%
Common2914
 
16.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
M322
 
2.1%
f316
 
2.1%
c316
 
2.1%
I314
 
2.1%
G313
 
2.1%
v312
 
2.1%
T312
 
2.1%
N311
 
2.1%
m307
 
2.0%
u306
 
2.0%
Other values (42)11957
79.3%
Common
ValueCountFrequency (%)
7334
11.5%
8312
10.7%
3304
10.4%
5297
10.2%
9289
9.9%
1282
9.7%
2277
9.5%
6275
9.4%
0272
9.3%
4272
9.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII18000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7334
 
1.9%
M322
 
1.8%
f316
 
1.8%
c316
 
1.8%
I314
 
1.7%
G313
 
1.7%
v312
 
1.7%
8312
 
1.7%
T312
 
1.7%
N311
 
1.7%
Other values (52)14838
82.4%

LIBSOR
Categorical

HIGH CARDINALITY
UNIFORM
UNIQUE

Distinct1000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
ISeLvzV4zDhrdCljmO
 
1
6q99WRIUJE5F4vUhFd
 
1
wtNQxdAmB1BMWMIuru
 
1
Jx5MRfneOgcJ8BBJ3Z
 
1
0LQ9vHqVddaYjd7PN3
 
1
Other values (995)
995 

Length

Max length18
Median length18
Mean length18
Min length18

Characters and Unicode

Total characters18000
Distinct characters62
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1000 ?
Unique (%)100.0%

Sample

1st rowISeLvzV4zDhrdCljmO
2nd roww2ULB9sg6KUKlPseYe
3rd rowjyTMop788BmKHwZjAp
4th rowl7s4dogKKLVYCxCRvn
5th row8NFSbK1lJO2jsJYUSg

Common Values

ValueCountFrequency (%)
ISeLvzV4zDhrdCljmO1
 
0.1%
6q99WRIUJE5F4vUhFd1
 
0.1%
wtNQxdAmB1BMWMIuru1
 
0.1%
Jx5MRfneOgcJ8BBJ3Z1
 
0.1%
0LQ9vHqVddaYjd7PN31
 
0.1%
N3zQpLpDDabYwST7qS1
 
0.1%
ND7Gco0QKmgWKCPf201
 
0.1%
BKV5JuSgpQrooEuZpy1
 
0.1%
VTdxBUGXD8kuasSLAK1
 
0.1%
riaITRl4E6da0kH7431
 
0.1%
Other values (990)990
99.0%

Length

2022-07-14T13:34:35.857613image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
iselvzv4zdhrdcljmo1
 
0.1%
bm7f1o5ixodewl10xv1
 
0.1%
rqmrcsgflbtmykegih1
 
0.1%
astiy3disyfmjxbpsd1
 
0.1%
jytmop788bmkhwzjap1
 
0.1%
l7s4dogkklvycxcrvn1
 
0.1%
8nfsbk1ljo2jsjyusg1
 
0.1%
eqkfddtqva1h1cdcmm1
 
0.1%
9ysyqtk4xb2iapwc6r1
 
0.1%
cdmwusx4jpde1opc2k1
 
0.1%
Other values (990)990
99.0%

Most occurring characters

ValueCountFrequency (%)
d330
 
1.8%
L330
 
1.8%
w323
 
1.8%
R323
 
1.8%
5321
 
1.8%
J319
 
1.8%
Y315
 
1.8%
i312
 
1.7%
s312
 
1.7%
6311
 
1.7%
Other values (52)14804
82.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter7541
41.9%
Uppercase Letter7515
41.8%
Decimal Number2944
 
16.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
d330
 
4.4%
w323
 
4.3%
i312
 
4.1%
s312
 
4.1%
a306
 
4.1%
p305
 
4.0%
t301
 
4.0%
v300
 
4.0%
u297
 
3.9%
g296
 
3.9%
Other values (16)4459
59.1%
Uppercase Letter
ValueCountFrequency (%)
L330
 
4.4%
R323
 
4.3%
J319
 
4.2%
Y315
 
4.2%
B309
 
4.1%
Q304
 
4.0%
V302
 
4.0%
G301
 
4.0%
D297
 
4.0%
U296
 
3.9%
Other values (16)4419
58.8%
Decimal Number
ValueCountFrequency (%)
5321
10.9%
6311
10.6%
7299
10.2%
9295
10.0%
4293
10.0%
2289
9.8%
1288
9.8%
0286
9.7%
8282
9.6%
3280
9.5%

Most occurring scripts

ValueCountFrequency (%)
Latin15056
83.6%
Common2944
 
16.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
d330
 
2.2%
L330
 
2.2%
w323
 
2.1%
R323
 
2.1%
J319
 
2.1%
Y315
 
2.1%
i312
 
2.1%
s312
 
2.1%
B309
 
2.1%
a306
 
2.0%
Other values (42)11877
78.9%
Common
ValueCountFrequency (%)
5321
10.9%
6311
10.6%
7299
10.2%
9295
10.0%
4293
10.0%
2289
9.8%
1288
9.8%
0286
9.7%
8282
9.6%
3280
9.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII18000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
d330
 
1.8%
L330
 
1.8%
w323
 
1.8%
R323
 
1.8%
5321
 
1.8%
J319
 
1.8%
Y315
 
1.8%
i312
 
1.7%
s312
 
1.7%
6311
 
1.7%
Other values (52)14804
82.2%

MDCGST
Categorical

HIGH CARDINALITY
UNIFORM
UNIQUE

Distinct1000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
lAHPAgMtTvVQ50hogS
 
1
W199coSOR9pgJgf3Qo
 
1
jAGo59zuedRiIaU4T0
 
1
XBTQZRsF9x769rcKL6
 
1
Zxqs4xsHdNFWBE6VAT
 
1
Other values (995)
995 

Length

Max length18
Median length18
Mean length18
Min length18

Characters and Unicode

Total characters18000
Distinct characters62
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1000 ?
Unique (%)100.0%

Sample

1st rowlAHPAgMtTvVQ50hogS
2nd rowGXff905EP5zaWZD1yz
3rd rowuoM0HT2M3DuD3YgSRo
4th rowWdyRE6pW9B6GFYrTli
5th rowsfs2cagXLbEkwIESMI

Common Values

ValueCountFrequency (%)
lAHPAgMtTvVQ50hogS1
 
0.1%
W199coSOR9pgJgf3Qo1
 
0.1%
jAGo59zuedRiIaU4T01
 
0.1%
XBTQZRsF9x769rcKL61
 
0.1%
Zxqs4xsHdNFWBE6VAT1
 
0.1%
QHOuLiuSU1Yikl2y6L1
 
0.1%
8ZdTkIT4gItbLOxecA1
 
0.1%
HLtumbG5LEdATXaYzY1
 
0.1%
I9mpSdicTiXURRUXLl1
 
0.1%
czky1CcbZF3stl1FxI1
 
0.1%
Other values (990)990
99.0%

Length

2022-07-14T13:34:35.970354image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
lahpagmttvvq50hogs1
 
0.1%
jhc9oievzqfuh2jtzl1
 
0.1%
y7m6jhua1tbk5h1r5d1
 
0.1%
nd30x1imvykio7zseo1
 
0.1%
uom0ht2m3dud3ygsro1
 
0.1%
wdyre6pw9b6gfyrtli1
 
0.1%
sfs2cagxlbekwiesmi1
 
0.1%
spnfkmayxkuy9r6evl1
 
0.1%
f6hcojeoxvpyqkuqia1
 
0.1%
o7mnlkcpoyebtcvkjg1
 
0.1%
Other values (990)990
99.0%

Most occurring characters

ValueCountFrequency (%)
x347
 
1.9%
9323
 
1.8%
H315
 
1.8%
h312
 
1.7%
Y311
 
1.7%
5310
 
1.7%
A310
 
1.7%
O309
 
1.7%
S308
 
1.7%
n306
 
1.7%
Other values (52)14849
82.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter7584
42.1%
Uppercase Letter7528
41.8%
Decimal Number2888
 
16.0%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
x347
 
4.6%
h312
 
4.1%
n306
 
4.0%
s305
 
4.0%
u303
 
4.0%
o300
 
4.0%
v300
 
4.0%
y297
 
3.9%
w297
 
3.9%
t296
 
3.9%
Other values (16)4521
59.6%
Uppercase Letter
ValueCountFrequency (%)
H315
 
4.2%
Y311
 
4.1%
A310
 
4.1%
O309
 
4.1%
S308
 
4.1%
X302
 
4.0%
B298
 
4.0%
R298
 
4.0%
F296
 
3.9%
C295
 
3.9%
Other values (16)4486
59.6%
Decimal Number
ValueCountFrequency (%)
9323
11.2%
5310
10.7%
4299
10.4%
8291
10.1%
3285
9.9%
0283
9.8%
7280
9.7%
2277
9.6%
6271
9.4%
1269
9.3%

Most occurring scripts

ValueCountFrequency (%)
Latin15112
84.0%
Common2888
 
16.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
x347
 
2.3%
H315
 
2.1%
h312
 
2.1%
Y311
 
2.1%
A310
 
2.1%
O309
 
2.0%
S308
 
2.0%
n306
 
2.0%
s305
 
2.0%
u303
 
2.0%
Other values (42)11986
79.3%
Common
ValueCountFrequency (%)
9323
11.2%
5310
10.7%
4299
10.4%
8291
10.1%
3285
9.9%
0283
9.8%
7280
9.7%
2277
9.6%
6271
9.4%
1269
9.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII18000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
x347
 
1.9%
9323
 
1.8%
H315
 
1.8%
h312
 
1.7%
Y311
 
1.7%
5310
 
1.7%
A310
 
1.7%
O309
 
1.7%
S308
 
1.7%
n306
 
1.7%
Other values (52)14849
82.5%

CGSTHI
Categorical

HIGH CARDINALITY
UNIFORM
UNIQUE

Distinct1000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
vuD8KNTMljH4gL4oWq
 
1
ZbK1ZkBPNNRaDBn9Rc
 
1
YN6BOwM4C7Pn3pPPoN
 
1
C4Nnp9sJ4n0CLy0Kan
 
1
AYjIL1W7JJxnnB8tss
 
1
Other values (995)
995 

Length

Max length18
Median length18
Mean length18
Min length18

Characters and Unicode

Total characters18000
Distinct characters62
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1000 ?
Unique (%)100.0%

Sample

1st rowvuD8KNTMljH4gL4oWq
2nd rowTW2qTRFOAvpGTmf2e1
3rd rowwtBQXmjNcjjlc5uAHT
4th rowE8ZPN0tDYmI3LTlWMR
5th rowztXz1f8eWKsqHGkepl

Common Values

ValueCountFrequency (%)
vuD8KNTMljH4gL4oWq1
 
0.1%
ZbK1ZkBPNNRaDBn9Rc1
 
0.1%
YN6BOwM4C7Pn3pPPoN1
 
0.1%
C4Nnp9sJ4n0CLy0Kan1
 
0.1%
AYjIL1W7JJxnnB8tss1
 
0.1%
YFC3qg5VXGrtRXAypp1
 
0.1%
3CoemOVLONS9uZefBc1
 
0.1%
vpKFdUeOW0rxd32jQG1
 
0.1%
VATI9RCKFn926p7yIp1
 
0.1%
nZqFCGHw4AOzfdfAQ91
 
0.1%
Other values (990)990
99.0%

Length

2022-07-14T13:34:36.084262image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
vud8kntmljh4gl4owq1
 
0.1%
ctqqzm58nzirklgtf01
 
0.1%
b2jwat56o4qay8tpsd1
 
0.1%
aumim7hkmm13jam4or1
 
0.1%
wtbqxmjncjjlc5uaht1
 
0.1%
e8zpn0tdymi3ltlwmr1
 
0.1%
ztxz1f8ewksqhgkepl1
 
0.1%
kljbrddjufqlyf7q9y1
 
0.1%
b87kiuzcqo9xbvxycu1
 
0.1%
kv31jjs3y1zzccmlzo1
 
0.1%
Other values (990)990
99.0%

Most occurring characters

ValueCountFrequency (%)
j353
 
2.0%
f323
 
1.8%
c320
 
1.8%
1318
 
1.8%
8316
 
1.8%
i314
 
1.7%
p311
 
1.7%
a309
 
1.7%
R309
 
1.7%
O307
 
1.7%
Other values (52)14820
82.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter7548
41.9%
Uppercase Letter7495
41.6%
Decimal Number2957
 
16.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
j353
 
4.7%
f323
 
4.3%
c320
 
4.2%
i314
 
4.2%
p311
 
4.1%
a309
 
4.1%
u305
 
4.0%
w305
 
4.0%
z301
 
4.0%
m298
 
3.9%
Other values (16)4409
58.4%
Uppercase Letter
ValueCountFrequency (%)
R309
 
4.1%
O307
 
4.1%
X304
 
4.1%
A302
 
4.0%
H300
 
4.0%
Y300
 
4.0%
U300
 
4.0%
L299
 
4.0%
W299
 
4.0%
M299
 
4.0%
Other values (16)4476
59.7%
Decimal Number
ValueCountFrequency (%)
1318
10.8%
8316
10.7%
5307
10.4%
6296
10.0%
9292
9.9%
2291
9.8%
7289
9.8%
4287
9.7%
3282
9.5%
0279
9.4%

Most occurring scripts

ValueCountFrequency (%)
Latin15043
83.6%
Common2957
 
16.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
j353
 
2.3%
f323
 
2.1%
c320
 
2.1%
i314
 
2.1%
p311
 
2.1%
a309
 
2.1%
R309
 
2.1%
O307
 
2.0%
u305
 
2.0%
w305
 
2.0%
Other values (42)11887
79.0%
Common
ValueCountFrequency (%)
1318
10.8%
8316
10.7%
5307
10.4%
6296
10.0%
9292
9.9%
2291
9.8%
7289
9.8%
4287
9.7%
3282
9.5%
0279
9.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII18000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
j353
 
2.0%
f323
 
1.8%
c320
 
1.8%
1318
 
1.8%
8316
 
1.8%
i314
 
1.7%
p311
 
1.7%
a309
 
1.7%
R309
 
1.7%
O307
 
1.7%
Other values (52)14820
82.3%

REPCGS
Categorical

HIGH CARDINALITY
UNIFORM
UNIQUE

Distinct1000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
ufjQgFO5Pty99Fom06
 
1
B6eQuU5JkWdqUA0DPq
 
1
WOBPIb6FMVRhEaeL2x
 
1
IVkSzaLMR1dX10IANe
 
1
J1Pe6dSOhc0jAGH6by
 
1
Other values (995)
995 

Length

Max length18
Median length18
Mean length18
Min length18

Characters and Unicode

Total characters18000
Distinct characters62
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1000 ?
Unique (%)100.0%

Sample

1st rowufjQgFO5Pty99Fom06
2nd rowA8nuZKKNpGNjTp5NS8
3rd row7qwG67CPenBgczdaed
4th rowhg4gBfFhVAE0Mc8ho3
5th rowFQmSOAQT7cMVWoIThy

Common Values

ValueCountFrequency (%)
ufjQgFO5Pty99Fom061
 
0.1%
B6eQuU5JkWdqUA0DPq1
 
0.1%
WOBPIb6FMVRhEaeL2x1
 
0.1%
IVkSzaLMR1dX10IANe1
 
0.1%
J1Pe6dSOhc0jAGH6by1
 
0.1%
3ptzPTH8EJgjWq4Uwp1
 
0.1%
keWjjJ4sCQ2r0BjlE21
 
0.1%
JZWhuMmvcKCzOe7yDN1
 
0.1%
qsRFI7HgdZRMHue7661
 
0.1%
97Av9CK7L4MkhLDSoI1
 
0.1%
Other values (990)990
99.0%

Length

2022-07-14T13:34:36.198851image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
ufjqgfo5pty99fom061
 
0.1%
kkmdqfzpnddn1l96ae1
 
0.1%
t8mjzmqq5i8aokepjw1
 
0.1%
ankzdbmuexpny0levf1
 
0.1%
7qwg67cpenbgczdaed1
 
0.1%
hg4gbffhvae0mc8ho31
 
0.1%
fqmsoaqt7cmvwoithy1
 
0.1%
0pl3a59wfyvvqoudpb1
 
0.1%
dhgqzfjko0fbszcx6l1
 
0.1%
3gtxxjalx2a5njp4lc1
 
0.1%
Other values (990)990
99.0%

Most occurring characters

ValueCountFrequency (%)
T328
 
1.8%
G326
 
1.8%
B321
 
1.8%
R319
 
1.8%
f314
 
1.7%
Q313
 
1.7%
1311
 
1.7%
a309
 
1.7%
8307
 
1.7%
M307
 
1.7%
Other values (52)14845
82.5%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter7627
42.4%
Lowercase Letter7482
41.6%
Decimal Number2891
 
16.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
T328
 
4.3%
G326
 
4.3%
B321
 
4.2%
R319
 
4.2%
Q313
 
4.1%
M307
 
4.0%
N304
 
4.0%
A302
 
4.0%
O302
 
4.0%
J299
 
3.9%
Other values (16)4506
59.1%
Lowercase Letter
ValueCountFrequency (%)
f314
 
4.2%
a309
 
4.1%
v305
 
4.1%
d305
 
4.1%
u302
 
4.0%
c300
 
4.0%
r294
 
3.9%
z292
 
3.9%
n292
 
3.9%
h291
 
3.9%
Other values (16)4478
59.9%
Decimal Number
ValueCountFrequency (%)
1311
10.8%
8307
10.6%
3300
10.4%
4299
10.3%
2295
10.2%
6290
10.0%
5279
9.7%
9274
9.5%
0273
9.4%
7263
9.1%

Most occurring scripts

ValueCountFrequency (%)
Latin15109
83.9%
Common2891
 
16.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
T328
 
2.2%
G326
 
2.2%
B321
 
2.1%
R319
 
2.1%
f314
 
2.1%
Q313
 
2.1%
a309
 
2.0%
M307
 
2.0%
v305
 
2.0%
d305
 
2.0%
Other values (42)11962
79.2%
Common
ValueCountFrequency (%)
1311
10.8%
8307
10.6%
3300
10.4%
4299
10.3%
2295
10.2%
6290
10.0%
5279
9.7%
9274
9.5%
0273
9.4%
7263
9.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII18000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
T328
 
1.8%
G326
 
1.8%
B321
 
1.8%
R319
 
1.8%
f314
 
1.7%
Q313
 
1.7%
1311
 
1.7%
a309
 
1.7%
8307
 
1.7%
M307
 
1.7%
Other values (52)14845
82.5%

LIBCGS
Categorical

HIGH CARDINALITY
UNIFORM
UNIQUE

Distinct1000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
a6CINivGg2nQ2G4P2D
 
1
ywnYfHadyAVY8eHC5w
 
1
oPVknajfPQnXgce7Gw
 
1
bN4RGDKuh1XL6tH7u4
 
1
bBYI6Q2x3weRqu6fhn
 
1
Other values (995)
995 

Length

Max length18
Median length18
Mean length18
Min length18

Characters and Unicode

Total characters18000
Distinct characters62
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1000 ?
Unique (%)100.0%

Sample

1st rowa6CINivGg2nQ2G4P2D
2nd rowk5en2YRNWOtnpgEeKP
3rd row8bwPjGpMbDMtsyTlRM
4th rowi3andxNp6r7DUobWgi
5th rowMxIXsDyG6okmioZfJ1

Common Values

ValueCountFrequency (%)
a6CINivGg2nQ2G4P2D1
 
0.1%
ywnYfHadyAVY8eHC5w1
 
0.1%
oPVknajfPQnXgce7Gw1
 
0.1%
bN4RGDKuh1XL6tH7u41
 
0.1%
bBYI6Q2x3weRqu6fhn1
 
0.1%
UYOaiYSj17mQh9QFtE1
 
0.1%
skZe0SOrJjyuGuNeNY1
 
0.1%
cahA48hDR1VVPWadvd1
 
0.1%
hdbndzDtZM8iAgV3xV1
 
0.1%
k3OAUmm8yD7l2HjjJh1
 
0.1%
Other values (990)990
99.0%

Length

2022-07-14T13:34:36.311702image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
a6cinivgg2nq2g4p2d1
 
0.1%
xhd7flca2upiw27x751
 
0.1%
fxlpo9fewkio8m7kko1
 
0.1%
cqfoy4jtzhtm4liiza1
 
0.1%
8bwpjgpmbdmtsytlrm1
 
0.1%
i3andxnp6r7duobwgi1
 
0.1%
mxixsdyg6okmiozfj11
 
0.1%
8bqef9j8r6pckrcfua1
 
0.1%
jviyit84maigyenic91
 
0.1%
hyppjn6gekgbfxwkxp1
 
0.1%
Other values (990)990
99.0%

Most occurring characters

ValueCountFrequency (%)
g314
 
1.7%
O312
 
1.7%
7310
 
1.7%
6309
 
1.7%
H308
 
1.7%
u307
 
1.7%
M306
 
1.7%
k306
 
1.7%
v305
 
1.7%
d304
 
1.7%
Other values (52)14919
82.9%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter7611
42.3%
Lowercase Letter7465
41.5%
Decimal Number2924
 
16.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
g314
 
4.2%
u307
 
4.1%
k306
 
4.1%
v305
 
4.1%
d304
 
4.1%
x302
 
4.0%
o302
 
4.0%
p299
 
4.0%
j299
 
4.0%
r298
 
4.0%
Other values (16)4429
59.3%
Uppercase Letter
ValueCountFrequency (%)
O312
 
4.1%
H308
 
4.0%
M306
 
4.0%
T303
 
4.0%
D302
 
4.0%
Y301
 
4.0%
Q299
 
3.9%
V298
 
3.9%
K298
 
3.9%
S297
 
3.9%
Other values (16)4587
60.3%
Decimal Number
ValueCountFrequency (%)
7310
10.6%
6309
10.6%
1301
10.3%
0294
10.1%
8293
10.0%
9288
9.8%
2287
9.8%
5286
9.8%
3284
9.7%
4272
9.3%

Most occurring scripts

ValueCountFrequency (%)
Latin15076
83.8%
Common2924
 
16.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
g314
 
2.1%
O312
 
2.1%
H308
 
2.0%
u307
 
2.0%
M306
 
2.0%
k306
 
2.0%
v305
 
2.0%
d304
 
2.0%
T303
 
2.0%
D302
 
2.0%
Other values (42)12009
79.7%
Common
ValueCountFrequency (%)
7310
10.6%
6309
10.6%
1301
10.3%
0294
10.1%
8293
10.0%
9288
9.8%
2287
9.8%
5286
9.8%
3284
9.7%
4272
9.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII18000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
g314
 
1.7%
O312
 
1.7%
7310
 
1.7%
6309
 
1.7%
H308
 
1.7%
u307
 
1.7%
M306
 
1.7%
k306
 
1.7%
v305
 
1.7%
d304
 
1.7%
Other values (52)14919
82.9%

MDRSST
Categorical

HIGH CARDINALITY
UNIFORM
UNIQUE

Distinct1000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
lS0RV1M9xzvwRQn7rU
 
1
0jA6fzQdhkPXTiocrU
 
1
gBV61bO0h7L6MD9Op3
 
1
Yg996S3yIablskLFzY
 
1
LcYKmhPEFKTIVj7TXR
 
1
Other values (995)
995 

Length

Max length18
Median length18
Mean length18
Min length18

Characters and Unicode

Total characters18000
Distinct characters62
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1000 ?
Unique (%)100.0%

Sample

1st rowlS0RV1M9xzvwRQn7rU
2nd rowsnJM5BdW6ZpQfvvg4t
3rd rowgBaEZZpdvZrVoBj6eV
4th rowbnQhKqaU1XoKt23C0k
5th rowFK48r924mxOkjL6Mfl

Common Values

ValueCountFrequency (%)
lS0RV1M9xzvwRQn7rU1
 
0.1%
0jA6fzQdhkPXTiocrU1
 
0.1%
gBV61bO0h7L6MD9Op31
 
0.1%
Yg996S3yIablskLFzY1
 
0.1%
LcYKmhPEFKTIVj7TXR1
 
0.1%
XjdWhXyFTtQtyXKTtn1
 
0.1%
zvirzgTpgm7e6IX1ya1
 
0.1%
kQa0PRacLWKtyk3yEb1
 
0.1%
8RYFGGR0cztLxqRQ4v1
 
0.1%
IcAcGDRVko8K8hiLxx1
 
0.1%
Other values (990)990
99.0%

Length

2022-07-14T13:34:36.429728image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
ls0rv1m9xzvwrqn7ru1
 
0.1%
dvdql4wtvkx0y8jwhz1
 
0.1%
uwprjsaxwthhqob74b1
 
0.1%
f4yqry0xaopszvbzbu1
 
0.1%
gbaezzpdvzrvobj6ev1
 
0.1%
bnqhkqau1xokt23c0k1
 
0.1%
fk48r924mxokjl6mfl1
 
0.1%
gzedbxqldgawlfniz81
 
0.1%
5ophciyqdlqvaoj2pr1
 
0.1%
f5mws3wa8mvvstcao01
 
0.1%
Other values (990)990
99.0%

Most occurring characters

ValueCountFrequency (%)
m323
 
1.8%
I322
 
1.8%
c319
 
1.8%
t317
 
1.8%
k315
 
1.8%
s313
 
1.7%
Y313
 
1.7%
g313
 
1.7%
M307
 
1.7%
l306
 
1.7%
Other values (52)14852
82.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter7664
42.6%
Uppercase Letter7441
41.3%
Decimal Number2895
 
16.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
m323
 
4.2%
c319
 
4.2%
t317
 
4.1%
k315
 
4.1%
s313
 
4.1%
g313
 
4.1%
l306
 
4.0%
i306
 
4.0%
w301
 
3.9%
o299
 
3.9%
Other values (16)4552
59.4%
Uppercase Letter
ValueCountFrequency (%)
I322
 
4.3%
Y313
 
4.2%
M307
 
4.1%
G304
 
4.1%
J303
 
4.1%
D299
 
4.0%
P298
 
4.0%
E294
 
4.0%
H294
 
4.0%
R293
 
3.9%
Other values (16)4414
59.3%
Decimal Number
ValueCountFrequency (%)
4298
10.3%
3297
10.3%
9297
10.3%
2297
10.3%
1289
10.0%
7289
10.0%
0287
9.9%
8281
9.7%
5281
9.7%
6279
9.6%

Most occurring scripts

ValueCountFrequency (%)
Latin15105
83.9%
Common2895
 
16.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
m323
 
2.1%
I322
 
2.1%
c319
 
2.1%
t317
 
2.1%
k315
 
2.1%
s313
 
2.1%
Y313
 
2.1%
g313
 
2.1%
M307
 
2.0%
l306
 
2.0%
Other values (42)11957
79.2%
Common
ValueCountFrequency (%)
4298
10.3%
3297
10.3%
9297
10.3%
2297
10.3%
1289
10.0%
7289
10.0%
0287
9.9%
8281
9.7%
5281
9.7%
6279
9.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII18000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
m323
 
1.8%
I322
 
1.8%
c319
 
1.8%
t317
 
1.8%
k315
 
1.8%
s313
 
1.7%
Y313
 
1.7%
g313
 
1.7%
M307
 
1.7%
l306
 
1.7%
Other values (52)14852
82.5%

RSSTHI
Categorical

HIGH CARDINALITY
UNIFORM
UNIQUE

Distinct1000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
bwyQ31HyaYtuj1s5TW
 
1
QXy2fbowipRWFfw88d
 
1
YLrqvdaC1wvxjXkC2I
 
1
u9ioBpKKxQSQ1LyCoe
 
1
7vNXJJ77YodtKE7f4t
 
1
Other values (995)
995 

Length

Max length18
Median length18
Mean length18
Min length18

Characters and Unicode

Total characters18000
Distinct characters62
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1000 ?
Unique (%)100.0%

Sample

1st rowbwyQ31HyaYtuj1s5TW
2nd rowec1NzvKJfTybdtgstB
3rd rows0gETDKWlixQVkhQgh
4th rowwyo74DTrXvdhLPIfOs
5th rowx2HPgg2BglEnxtrXbO

Common Values

ValueCountFrequency (%)
bwyQ31HyaYtuj1s5TW1
 
0.1%
QXy2fbowipRWFfw88d1
 
0.1%
YLrqvdaC1wvxjXkC2I1
 
0.1%
u9ioBpKKxQSQ1LyCoe1
 
0.1%
7vNXJJ77YodtKE7f4t1
 
0.1%
gHtTiTfPc6WEILL2TW1
 
0.1%
6V8dORRkkAHnyM8KPr1
 
0.1%
zRhMmv8l0Ln2VY3ep81
 
0.1%
LSAPHVafzPrWQq1nKZ1
 
0.1%
hKg23eQ0id2EOvXxWJ1
 
0.1%
Other values (990)990
99.0%

Length

2022-07-14T13:34:36.543007image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
bwyq31hyaytuj1s5tw1
 
0.1%
3mpagrfhtbamupgl3c1
 
0.1%
ih0vkjamw1qercbxef1
 
0.1%
cq21uujjbeoohgzxgy1
 
0.1%
s0getdkwlixqvkhqgh1
 
0.1%
wyo74dtrxvdhlpifos1
 
0.1%
x2hpgg2bglenxtrxbo1
 
0.1%
wqwkhgacq5ayv9qsce1
 
0.1%
2wbstazwbpz28fiqtn1
 
0.1%
gp7urfohwrmbj3glsu1
 
0.1%
Other values (990)990
99.0%

Most occurring characters

ValueCountFrequency (%)
8334
 
1.9%
7329
 
1.8%
q326
 
1.8%
i324
 
1.8%
0319
 
1.8%
Q317
 
1.8%
T316
 
1.8%
3314
 
1.7%
n310
 
1.7%
R309
 
1.7%
Other values (52)14802
82.2%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter7538
41.9%
Lowercase Letter7468
41.5%
Decimal Number2994
 
16.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
q326
 
4.4%
i324
 
4.3%
n310
 
4.2%
y306
 
4.1%
e306
 
4.1%
o301
 
4.0%
r301
 
4.0%
g297
 
4.0%
c293
 
3.9%
v290
 
3.9%
Other values (16)4414
59.1%
Uppercase Letter
ValueCountFrequency (%)
Q317
 
4.2%
T316
 
4.2%
R309
 
4.1%
H308
 
4.1%
W302
 
4.0%
X302
 
4.0%
I301
 
4.0%
O300
 
4.0%
S300
 
4.0%
Z299
 
4.0%
Other values (16)4484
59.5%
Decimal Number
ValueCountFrequency (%)
8334
11.2%
7329
11.0%
0319
10.7%
3314
10.5%
2308
10.3%
1300
10.0%
9288
9.6%
4286
9.6%
5278
9.3%
6238
7.9%

Most occurring scripts

ValueCountFrequency (%)
Latin15006
83.4%
Common2994
 
16.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
q326
 
2.2%
i324
 
2.2%
Q317
 
2.1%
T316
 
2.1%
n310
 
2.1%
R309
 
2.1%
H308
 
2.1%
y306
 
2.0%
e306
 
2.0%
W302
 
2.0%
Other values (42)11882
79.2%
Common
ValueCountFrequency (%)
8334
11.2%
7329
11.0%
0319
10.7%
3314
10.5%
2308
10.3%
1300
10.0%
9288
9.6%
4286
9.6%
5278
9.3%
6238
7.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII18000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8334
 
1.9%
7329
 
1.8%
q326
 
1.8%
i324
 
1.8%
0319
 
1.8%
Q317
 
1.8%
T316
 
1.8%
3314
 
1.7%
n310
 
1.7%
R309
 
1.7%
Other values (52)14802
82.2%

REPRSS
Categorical

HIGH CARDINALITY
UNIFORM
UNIQUE

Distinct1000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
c7UloislYKHRvqOZe3
 
1
S0B40URMZfhKaWtVPt
 
1
XP791RvqWXlZhhhXdk
 
1
BbReZj0g0cgug5XwtF
 
1
1ityVHsmWz7aPP8ok2
 
1
Other values (995)
995 

Length

Max length18
Median length18
Mean length18
Min length18

Characters and Unicode

Total characters18000
Distinct characters62
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1000 ?
Unique (%)100.0%

Sample

1st rowc7UloislYKHRvqOZe3
2nd rowPES8dDk4cbrZODmv8S
3rd rowqqLvhfLksRF5Q2Aub3
4th rowjL7dvANlmQVaiPMseY
5th rowiGJ9xduZYSQrVJzd6g

Common Values

ValueCountFrequency (%)
c7UloislYKHRvqOZe31
 
0.1%
S0B40URMZfhKaWtVPt1
 
0.1%
XP791RvqWXlZhhhXdk1
 
0.1%
BbReZj0g0cgug5XwtF1
 
0.1%
1ityVHsmWz7aPP8ok21
 
0.1%
KFSPDwGGqU1F86flVo1
 
0.1%
wrDq8K3EoE36qt4MpR1
 
0.1%
gWyXir1hzvshyQFmKV1
 
0.1%
Ex36rYMZ7RaYfLU4xu1
 
0.1%
NNI6BmhsVCI5QweHI41
 
0.1%
Other values (990)990
99.0%

Length

2022-07-14T13:34:36.664873image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
c7uloislykhrvqoze31
 
0.1%
fjvj4ldcms9lpa3mkc1
 
0.1%
hqfte96sbvhqaweuul1
 
0.1%
zebxam54sx3caxhbyb1
 
0.1%
qqlvhflksrf5q2aub31
 
0.1%
jl7dvanlmqvaipmsey1
 
0.1%
igj9xduzysqrvjzd6g1
 
0.1%
babo2zl9eo22svyikm1
 
0.1%
kfyjb1yjo9xebz4byi1
 
0.1%
e4b3vnpm5tmxba0ykq1
 
0.1%
Other values (990)990
99.0%

Most occurring characters

ValueCountFrequency (%)
P330
 
1.8%
L321
 
1.8%
g317
 
1.8%
e317
 
1.8%
c313
 
1.7%
v313
 
1.7%
k310
 
1.7%
Z309
 
1.7%
r309
 
1.7%
O309
 
1.7%
Other values (52)14852
82.5%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter7623
42.4%
Lowercase Letter7546
41.9%
Decimal Number2831
 
15.7%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
P330
 
4.3%
L321
 
4.2%
Z309
 
4.1%
O309
 
4.1%
N306
 
4.0%
G306
 
4.0%
F306
 
4.0%
V305
 
4.0%
J303
 
4.0%
A298
 
3.9%
Other values (16)4530
59.4%
Lowercase Letter
ValueCountFrequency (%)
g317
 
4.2%
e317
 
4.2%
c313
 
4.1%
v313
 
4.1%
k310
 
4.1%
r309
 
4.1%
d302
 
4.0%
q299
 
4.0%
m298
 
3.9%
z295
 
3.9%
Other values (16)4473
59.3%
Decimal Number
ValueCountFrequency (%)
4299
10.6%
6294
10.4%
9288
10.2%
0285
10.1%
2280
9.9%
8280
9.9%
5280
9.9%
1277
9.8%
7275
9.7%
3273
9.6%

Most occurring scripts

ValueCountFrequency (%)
Latin15169
84.3%
Common2831
 
15.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
P330
 
2.2%
L321
 
2.1%
g317
 
2.1%
e317
 
2.1%
c313
 
2.1%
v313
 
2.1%
k310
 
2.0%
Z309
 
2.0%
r309
 
2.0%
O309
 
2.0%
Other values (42)12021
79.2%
Common
ValueCountFrequency (%)
4299
10.6%
6294
10.4%
9288
10.2%
0285
10.1%
2280
9.9%
8280
9.9%
5280
9.9%
1277
9.8%
7275
9.7%
3273
9.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII18000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
P330
 
1.8%
L321
 
1.8%
g317
 
1.8%
e317
 
1.8%
c313
 
1.7%
v313
 
1.7%
k310
 
1.7%
Z309
 
1.7%
r309
 
1.7%
O309
 
1.7%
Other values (52)14852
82.5%

LIBRSS
Categorical

HIGH CARDINALITY
UNIFORM
UNIQUE

Distinct1000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
xYRdyT3BmEqHS7gE2i
 
1
bVBLtqIo9039aM5POg
 
1
5OxFT8f6AS3ukJ6J3W
 
1
xcc5S114pRCnjND6S4
 
1
5Gc8l9QzBER4SR7RGO
 
1
Other values (995)
995 

Length

Max length18
Median length18
Mean length18
Min length18

Characters and Unicode

Total characters18000
Distinct characters62
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1000 ?
Unique (%)100.0%

Sample

1st rowxYRdyT3BmEqHS7gE2i
2nd rowCulVAgjCuce2rNUH0f
3rd rowoKlcdPHHiWaaJZ65di
4th rowHYakDZlrrvv3AO7EKH
5th rowtxyTvfDRKL9Jhj5Tji

Common Values

ValueCountFrequency (%)
xYRdyT3BmEqHS7gE2i1
 
0.1%
bVBLtqIo9039aM5POg1
 
0.1%
5OxFT8f6AS3ukJ6J3W1
 
0.1%
xcc5S114pRCnjND6S41
 
0.1%
5Gc8l9QzBER4SR7RGO1
 
0.1%
VAHbbx0zIkJbwzjFxI1
 
0.1%
Qz6UdHXy5PLSRY1Ij11
 
0.1%
pzFnqqelvxCvAYCXjx1
 
0.1%
Nb1tb00OwOw1gfM23H1
 
0.1%
cBPmtV3mAiLbNtRQsf1
 
0.1%
Other values (990)990
99.0%

Length

2022-07-14T13:34:36.780334image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
xyrdyt3bmeqhs7ge2i1
 
0.1%
q84cchnwnpt6lc4qrh1
 
0.1%
f2nruby5bviaxkukev1
 
0.1%
lemwe6hch0oqk2ai6l1
 
0.1%
oklcdphhiwaajz65di1
 
0.1%
hyakdzlrrvv3ao7ekh1
 
0.1%
txytvfdrkl9jhj5tji1
 
0.1%
taenari6tcq4gvcj5s1
 
0.1%
s54zhjvyzkwi0gbpaz1
 
0.1%
ct3p5i5ybeos33scsl1
 
0.1%
Other values (990)990
99.0%

Most occurring characters

ValueCountFrequency (%)
3336
 
1.9%
C334
 
1.9%
h315
 
1.8%
T314
 
1.7%
c312
 
1.7%
9312
 
1.7%
6311
 
1.7%
A311
 
1.7%
B310
 
1.7%
Y309
 
1.7%
Other values (52)14836
82.4%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter7559
42.0%
Lowercase Letter7491
41.6%
Decimal Number2950
 
16.4%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
C334
 
4.4%
T314
 
4.2%
A311
 
4.1%
B310
 
4.1%
Y309
 
4.1%
O309
 
4.1%
S307
 
4.1%
W305
 
4.0%
H305
 
4.0%
P296
 
3.9%
Other values (16)4459
59.0%
Lowercase Letter
ValueCountFrequency (%)
h315
 
4.2%
c312
 
4.2%
v307
 
4.1%
l304
 
4.1%
p303
 
4.0%
y302
 
4.0%
u301
 
4.0%
o299
 
4.0%
e297
 
4.0%
k297
 
4.0%
Other values (16)4454
59.5%
Decimal Number
ValueCountFrequency (%)
3336
11.4%
9312
10.6%
6311
10.5%
2303
10.3%
0288
9.8%
5284
9.6%
4284
9.6%
8280
9.5%
1280
9.5%
7272
9.2%

Most occurring scripts

ValueCountFrequency (%)
Latin15050
83.6%
Common2950
 
16.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
C334
 
2.2%
h315
 
2.1%
T314
 
2.1%
c312
 
2.1%
A311
 
2.1%
B310
 
2.1%
Y309
 
2.1%
O309
 
2.1%
S307
 
2.0%
v307
 
2.0%
Other values (42)11922
79.2%
Common
ValueCountFrequency (%)
3336
11.4%
9312
10.6%
6311
10.5%
2303
10.3%
0288
9.8%
5284
9.6%
4284
9.6%
8280
9.5%
1280
9.5%
7272
9.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII18000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3336
 
1.9%
C334
 
1.9%
h315
 
1.8%
T314
 
1.7%
c312
 
1.7%
9312
 
1.7%
6311
 
1.7%
A311
 
1.7%
B310
 
1.7%
Y309
 
1.7%
Other values (52)14836
82.4%

MDCGSS
Categorical

HIGH CARDINALITY
UNIFORM
UNIQUE

Distinct1000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
LTZKcfn8IwpJ4XWzJe
 
1
PwQBgWnKfJN5KS93bZ
 
1
LmlSE06R2v5iw3o6c3
 
1
Q6qYUXubxxrh4rUYg2
 
1
VPeNOl1qLhzPh3n9eq
 
1
Other values (995)
995 

Length

Max length18
Median length18
Mean length18
Min length18

Characters and Unicode

Total characters18000
Distinct characters62
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1000 ?
Unique (%)100.0%

Sample

1st rowLTZKcfn8IwpJ4XWzJe
2nd rowdtN60SHWRD7IUvW8gF
3rd rowZX8C61Y4WpHdD5LJ8N
4th row41y8NT3cxwdjizsOVO
5th rowoVhjXRbbCkuWqtoMoF

Common Values

ValueCountFrequency (%)
LTZKcfn8IwpJ4XWzJe1
 
0.1%
PwQBgWnKfJN5KS93bZ1
 
0.1%
LmlSE06R2v5iw3o6c31
 
0.1%
Q6qYUXubxxrh4rUYg21
 
0.1%
VPeNOl1qLhzPh3n9eq1
 
0.1%
yzUZ9ehO84GfsykvUf1
 
0.1%
lAb23aTmkCa5TvS6r91
 
0.1%
gi1nwdKlX5yzeaFTlH1
 
0.1%
rPfl9IljluUFIAZ7Zc1
 
0.1%
tGPsGplLjmTjBwJLDC1
 
0.1%
Other values (990)990
99.0%

Length

2022-07-14T13:34:36.897277image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
ltzkcfn8iwpj4xwzje1
 
0.1%
pduaaek0buthpglipd1
 
0.1%
7efbvmcry6uasjdwpa1
 
0.1%
cvhppotkwbm35mh86d1
 
0.1%
zx8c61y4wphdd5lj8n1
 
0.1%
41y8nt3cxwdjizsovo1
 
0.1%
ovhjxrbbckuwqtomof1
 
0.1%
fyr77pc1mhfl1vjm0b1
 
0.1%
cfhkjcywt4kavabtgc1
 
0.1%
c6tkcvdfdf5tsezcqq1
 
0.1%
Other values (990)990
99.0%

Most occurring characters

ValueCountFrequency (%)
J336
 
1.9%
q328
 
1.8%
g317
 
1.8%
R317
 
1.8%
0317
 
1.8%
e313
 
1.7%
n309
 
1.7%
G307
 
1.7%
u306
 
1.7%
Y306
 
1.7%
Other values (52)14844
82.5%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter7622
42.3%
Lowercase Letter7479
41.5%
Decimal Number2899
 
16.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
J336
 
4.4%
R317
 
4.2%
G307
 
4.0%
Y306
 
4.0%
C306
 
4.0%
W303
 
4.0%
P303
 
4.0%
D302
 
4.0%
T301
 
3.9%
S299
 
3.9%
Other values (16)4542
59.6%
Lowercase Letter
ValueCountFrequency (%)
q328
 
4.4%
g317
 
4.2%
e313
 
4.2%
n309
 
4.1%
u306
 
4.1%
o297
 
4.0%
m297
 
4.0%
c295
 
3.9%
k294
 
3.9%
s292
 
3.9%
Other values (16)4431
59.2%
Decimal Number
ValueCountFrequency (%)
0317
10.9%
3300
10.3%
2294
10.1%
9293
10.1%
8293
10.1%
1289
10.0%
7287
9.9%
6286
9.9%
4273
9.4%
5267
9.2%

Most occurring scripts

ValueCountFrequency (%)
Latin15101
83.9%
Common2899
 
16.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
J336
 
2.2%
q328
 
2.2%
g317
 
2.1%
R317
 
2.1%
e313
 
2.1%
n309
 
2.0%
G307
 
2.0%
u306
 
2.0%
Y306
 
2.0%
C306
 
2.0%
Other values (42)11956
79.2%
Common
ValueCountFrequency (%)
0317
10.9%
3300
10.3%
2294
10.1%
9293
10.1%
8293
10.1%
1289
10.0%
7287
9.9%
6286
9.9%
4273
9.4%
5267
9.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII18000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
J336
 
1.9%
q328
 
1.8%
g317
 
1.8%
R317
 
1.8%
0317
 
1.8%
e313
 
1.7%
n309
 
1.7%
G307
 
1.7%
u306
 
1.7%
Y306
 
1.7%
Other values (52)14844
82.5%

CGSTAT
Categorical

HIGH CARDINALITY
UNIFORM
UNIQUE

Distinct1000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
KDyK59YWwEBj8QDcCt
 
1
6MsHfnD29Krg3ei6Lu
 
1
DrUo2NlVl9XJum1BeJ
 
1
kTFeyJRfBHWHLRQV0q
 
1
pYzm86EPFOPqbmjqKP
 
1
Other values (995)
995 

Length

Max length18
Median length18
Mean length18
Min length18

Characters and Unicode

Total characters18000
Distinct characters62
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1000 ?
Unique (%)100.0%

Sample

1st rowKDyK59YWwEBj8QDcCt
2nd rowepiclYeDqi1Yuiu2Pe
3rd rowScOUL7PqmklEpzfX26
4th rows8UmY0nR3iMdYcv6DF
5th roweUYel4dbBmEosYJglJ

Common Values

ValueCountFrequency (%)
KDyK59YWwEBj8QDcCt1
 
0.1%
6MsHfnD29Krg3ei6Lu1
 
0.1%
DrUo2NlVl9XJum1BeJ1
 
0.1%
kTFeyJRfBHWHLRQV0q1
 
0.1%
pYzm86EPFOPqbmjqKP1
 
0.1%
JhCd0M4v7XcARlk9hp1
 
0.1%
Z8jr6KC10QerFPE2jq1
 
0.1%
xLJ6cfSnZRSfomMQqf1
 
0.1%
mmCfm3221zAhb0Pr5A1
 
0.1%
mUYNpYpXqk6GBGQvmG1
 
0.1%
Other values (990)990
99.0%

Length

2022-07-14T13:34:37.015690image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
kdyk59ywwebj8qdcct1
 
0.1%
2picflhzs4trbllpqg1
 
0.1%
p8beah97af7bcgfkhb1
 
0.1%
mqudxzkqh54ws0usd21
 
0.1%
scoul7pqmklepzfx261
 
0.1%
s8umy0nr3imdycv6df1
 
0.1%
euyel4dbbmeosyjglj1
 
0.1%
qpk1wrznr7up1ls1ef1
 
0.1%
6zdg0y3ilc2p3eskyw1
 
0.1%
arosl96loifcmmxcsg1
 
0.1%
Other values (990)990
99.0%

Most occurring characters

ValueCountFrequency (%)
2343
 
1.9%
O313
 
1.7%
P312
 
1.7%
G311
 
1.7%
5310
 
1.7%
T307
 
1.7%
9306
 
1.7%
s306
 
1.7%
d305
 
1.7%
z304
 
1.7%
Other values (52)14883
82.7%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter7630
42.4%
Lowercase Letter7418
41.2%
Decimal Number2952
 
16.4%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
O313
 
4.1%
P312
 
4.1%
G311
 
4.1%
T307
 
4.0%
U301
 
3.9%
X300
 
3.9%
J299
 
3.9%
L298
 
3.9%
F296
 
3.9%
S296
 
3.9%
Other values (16)4597
60.2%
Lowercase Letter
ValueCountFrequency (%)
s306
 
4.1%
d305
 
4.1%
z304
 
4.1%
a304
 
4.1%
t300
 
4.0%
f300
 
4.0%
e300
 
4.0%
l299
 
4.0%
i299
 
4.0%
g296
 
4.0%
Other values (16)4405
59.4%
Decimal Number
ValueCountFrequency (%)
2343
11.6%
5310
10.5%
9306
10.4%
0294
10.0%
3290
9.8%
8288
9.8%
4286
9.7%
1285
9.7%
7281
9.5%
6269
9.1%

Most occurring scripts

ValueCountFrequency (%)
Latin15048
83.6%
Common2952
 
16.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
O313
 
2.1%
P312
 
2.1%
G311
 
2.1%
T307
 
2.0%
s306
 
2.0%
d305
 
2.0%
z304
 
2.0%
a304
 
2.0%
U301
 
2.0%
X300
 
2.0%
Other values (42)11985
79.6%
Common
ValueCountFrequency (%)
2343
11.6%
5310
10.5%
9306
10.4%
0294
10.0%
3290
9.8%
8288
9.8%
4286
9.7%
1285
9.7%
7281
9.5%
6269
9.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII18000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2343
 
1.9%
O313
 
1.7%
P312
 
1.7%
G311
 
1.7%
5310
 
1.7%
T307
 
1.7%
9306
 
1.7%
s306
 
1.7%
d305
 
1.7%
z304
 
1.7%
Other values (52)14883
82.7%

REPCST
Categorical

HIGH CARDINALITY
UNIFORM
UNIQUE

Distinct1000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
qvvhqmhA22bk5Of3YC
 
1
ZArYj4XdGJDmfRA92W
 
1
meKQvEwadla59sZihs
 
1
jApRTCprClB32qAbz5
 
1
mylPMnYHLYiGRPR1B5
 
1
Other values (995)
995 

Length

Max length18
Median length18
Mean length18
Min length18

Characters and Unicode

Total characters18000
Distinct characters62
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1000 ?
Unique (%)100.0%

Sample

1st rowqvvhqmhA22bk5Of3YC
2nd row3H2EgY7SXCHctmu6qw
3rd rowMGHAYeu66OpCvpPxLT
4th rowrihO0rUKNPCyvEe0M8
5th rowJMKSq4B8OoiqJawGxj

Common Values

ValueCountFrequency (%)
qvvhqmhA22bk5Of3YC1
 
0.1%
ZArYj4XdGJDmfRA92W1
 
0.1%
meKQvEwadla59sZihs1
 
0.1%
jApRTCprClB32qAbz51
 
0.1%
mylPMnYHLYiGRPR1B51
 
0.1%
jI6gVbSAeDcRmNX0yj1
 
0.1%
y9K5uUqT3xQbQMeDcT1
 
0.1%
AhGj4PR3R8U6MIUMHx1
 
0.1%
3ct8PkFy3ai0CbNc861
 
0.1%
CEEJ1BUNBLivryAniU1
 
0.1%
Other values (990)990
99.0%

Length

2022-07-14T13:34:37.131781image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
qvvhqmha22bk5of3yc1
 
0.1%
leobefhnm7p24vbpbj1
 
0.1%
aeixfd4gbozdxia8eq1
 
0.1%
crhjwlvau8zpcvge5y1
 
0.1%
mghayeu66opcvppxlt1
 
0.1%
riho0ruknpcyvee0m81
 
0.1%
jmksq4b8ooiqjawgxj1
 
0.1%
ohnfjoyyws8xt6mqhi1
 
0.1%
mi9jzjgwqbxy2bzrtp1
 
0.1%
swr74vtx0ooks4sowb1
 
0.1%
Other values (990)990
99.0%

Most occurring characters

ValueCountFrequency (%)
7330
 
1.8%
S324
 
1.8%
d320
 
1.8%
9319
 
1.8%
R319
 
1.8%
E313
 
1.7%
P313
 
1.7%
D312
 
1.7%
q311
 
1.7%
I306
 
1.7%
Other values (52)14833
82.4%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter7578
42.1%
Lowercase Letter7494
41.6%
Decimal Number2928
 
16.3%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
S324
 
4.3%
R319
 
4.2%
E313
 
4.1%
P313
 
4.1%
D312
 
4.1%
I306
 
4.0%
T306
 
4.0%
X302
 
4.0%
Y302
 
4.0%
B302
 
4.0%
Other values (16)4479
59.1%
Lowercase Letter
ValueCountFrequency (%)
d320
 
4.3%
q311
 
4.1%
n305
 
4.1%
r305
 
4.1%
m304
 
4.1%
j303
 
4.0%
e302
 
4.0%
y301
 
4.0%
h301
 
4.0%
w299
 
4.0%
Other values (16)4443
59.3%
Decimal Number
ValueCountFrequency (%)
7330
11.3%
9319
10.9%
3306
10.5%
5305
10.4%
2289
9.9%
8287
9.8%
4280
9.6%
6277
9.5%
1269
9.2%
0266
9.1%

Most occurring scripts

ValueCountFrequency (%)
Latin15072
83.7%
Common2928
 
16.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
S324
 
2.1%
d320
 
2.1%
R319
 
2.1%
E313
 
2.1%
P313
 
2.1%
D312
 
2.1%
q311
 
2.1%
I306
 
2.0%
T306
 
2.0%
n305
 
2.0%
Other values (42)11943
79.2%
Common
ValueCountFrequency (%)
7330
11.3%
9319
10.9%
3306
10.5%
5305
10.4%
2289
9.9%
8287
9.8%
4280
9.6%
6277
9.5%
1269
9.2%
0266
9.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII18000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7330
 
1.8%
S324
 
1.8%
d320
 
1.8%
9319
 
1.8%
R319
 
1.8%
E313
 
1.7%
P313
 
1.7%
D312
 
1.7%
q311
 
1.7%
I306
 
1.7%
Other values (52)14833
82.4%

LIBCST
Categorical

HIGH CARDINALITY
UNIFORM
UNIQUE

Distinct1000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
DAvkjN1Rk2kCH82sSb
 
1
2Cr8qHyXV1B2zLHedw
 
1
FJwzZwmdCD0LnYqKgs
 
1
s0Ide1QEZGvlHaNZW1
 
1
NkreEG12w75paRWasW
 
1
Other values (995)
995 

Length

Max length18
Median length18
Mean length18
Min length18

Characters and Unicode

Total characters18000
Distinct characters62
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1000 ?
Unique (%)100.0%

Sample

1st rowDAvkjN1Rk2kCH82sSb
2nd row15EZ9OdeGx8qQi7M9y
3rd row9efxYaDi0lCpcwl0na
4th rowTKANXUMzg54jp60TCm
5th rowVuI4CoVQegn7T9z8Ik

Common Values

ValueCountFrequency (%)
DAvkjN1Rk2kCH82sSb1
 
0.1%
2Cr8qHyXV1B2zLHedw1
 
0.1%
FJwzZwmdCD0LnYqKgs1
 
0.1%
s0Ide1QEZGvlHaNZW11
 
0.1%
NkreEG12w75paRWasW1
 
0.1%
T7TOWOQqU0k7XFgsYn1
 
0.1%
9kOVHb5nk8p8CXmPEc1
 
0.1%
bcmPMquQcsPqT0oti21
 
0.1%
nvtBfD35NNcWm4RZnA1
 
0.1%
PZnQAQbz5ANuJCrhzs1
 
0.1%
Other values (990)990
99.0%

Length

2022-07-14T13:34:37.247064image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
davkjn1rk2kch82ssb1
 
0.1%
0eui3dsgp7odufzt9y1
 
0.1%
l1sgzldrufbkvp1tde1
 
0.1%
jfpnytejsrutmoymer1
 
0.1%
9efxyadi0lcpcwl0na1
 
0.1%
tkanxumzg54jp60tcm1
 
0.1%
vui4covqegn7t9z8ik1
 
0.1%
tve8h1awn7gjj1el171
 
0.1%
np55ajkqaqmawmzmse1
 
0.1%
zwhhmfuvubyypfp1u21
 
0.1%
Other values (990)990
99.0%

Most occurring characters

ValueCountFrequency (%)
H337
 
1.9%
N320
 
1.8%
6319
 
1.8%
e318
 
1.8%
n318
 
1.8%
G317
 
1.8%
B315
 
1.8%
K313
 
1.7%
V307
 
1.7%
U306
 
1.7%
Other values (52)14830
82.4%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter7612
42.3%
Lowercase Letter7494
41.6%
Decimal Number2894
 
16.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
H337
 
4.4%
N320
 
4.2%
G317
 
4.2%
B315
 
4.1%
K313
 
4.1%
V307
 
4.0%
U306
 
4.0%
E305
 
4.0%
Q303
 
4.0%
Y299
 
3.9%
Other values (16)4490
59.0%
Lowercase Letter
ValueCountFrequency (%)
e318
 
4.2%
n318
 
4.2%
a305
 
4.1%
s305
 
4.1%
u300
 
4.0%
x299
 
4.0%
j298
 
4.0%
y297
 
4.0%
z290
 
3.9%
o290
 
3.9%
Other values (16)4474
59.7%
Decimal Number
ValueCountFrequency (%)
6319
11.0%
1300
10.4%
4298
10.3%
2298
10.3%
9293
10.1%
5288
10.0%
8284
9.8%
3276
9.5%
0273
9.4%
7265
9.2%

Most occurring scripts

ValueCountFrequency (%)
Latin15106
83.9%
Common2894
 
16.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
H337
 
2.2%
N320
 
2.1%
e318
 
2.1%
n318
 
2.1%
G317
 
2.1%
B315
 
2.1%
K313
 
2.1%
V307
 
2.0%
U306
 
2.0%
a305
 
2.0%
Other values (42)11950
79.1%
Common
ValueCountFrequency (%)
6319
11.0%
1300
10.4%
4298
10.3%
2298
10.3%
9293
10.1%
5288
10.0%
8284
9.8%
3276
9.5%
0273
9.4%
7265
9.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII18000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
H337
 
1.9%
N320
 
1.8%
6319
 
1.8%
e318
 
1.8%
n318
 
1.8%
G317
 
1.8%
B315
 
1.8%
K313
 
1.7%
V307
 
1.7%
U306
 
1.7%
Other values (52)14830
82.4%

MDRSSS
Categorical

HIGH CARDINALITY
UNIFORM
UNIQUE

Distinct1000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
JK0clqq5u0pJzzP6yz
 
1
YV4clg49WbNzeI4uSr
 
1
WOHO2CDjBHiNCBMvOY
 
1
xwKDqTzEOfeAjrzjGS
 
1
Xzx5URzcss20wPZJeL
 
1
Other values (995)
995 

Length

Max length18
Median length18
Mean length18
Min length18

Characters and Unicode

Total characters18000
Distinct characters62
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1000 ?
Unique (%)100.0%

Sample

1st rowJK0clqq5u0pJzzP6yz
2nd rowC9qdgukBcCKuf8XNUw
3rd rowNsqLfvOd6VjUO8hfqj
4th row4VhoRL9UeMh6TfXkzm
5th rowftOF0wm4TKvHJbTsRi

Common Values

ValueCountFrequency (%)
JK0clqq5u0pJzzP6yz1
 
0.1%
YV4clg49WbNzeI4uSr1
 
0.1%
WOHO2CDjBHiNCBMvOY1
 
0.1%
xwKDqTzEOfeAjrzjGS1
 
0.1%
Xzx5URzcss20wPZJeL1
 
0.1%
RdzQeXAjuf6bRM2hyV1
 
0.1%
TdM8d8oY92hTeQ867W1
 
0.1%
C6AaVKkw9kWEOlcyuG1
 
0.1%
EDUZU2lvTEGwohiEmL1
 
0.1%
ftMBvuea8HzDwP9Xfh1
 
0.1%
Other values (990)990
99.0%

Length

2022-07-14T13:34:37.360435image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
jk0clqq5u0pjzzp6yz1
 
0.1%
ghpjovjhwvxzarshaj1
 
0.1%
dwyfrcdalysbhsknvy1
 
0.1%
ju1ikumxexzbpn3oeo1
 
0.1%
nsqlfvod6vjuo8hfqj1
 
0.1%
4vhorl9uemh6tfxkzm1
 
0.1%
ftof0wm4tkvhjbtsri1
 
0.1%
nhyryaffeeapymkqen1
 
0.1%
tamssplf92witdcikz1
 
0.1%
s4qjylrm8erdasn2sy1
 
0.1%
Other values (990)990
99.0%

Most occurring characters

ValueCountFrequency (%)
a332
 
1.8%
U329
 
1.8%
y328
 
1.8%
0324
 
1.8%
H322
 
1.8%
f318
 
1.8%
g316
 
1.8%
j313
 
1.7%
R313
 
1.7%
m310
 
1.7%
Other values (52)14795
82.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter7654
42.5%
Uppercase Letter7477
41.5%
Decimal Number2869
 
15.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a332
 
4.3%
y328
 
4.3%
f318
 
4.2%
g316
 
4.1%
j313
 
4.1%
m310
 
4.1%
x307
 
4.0%
z306
 
4.0%
p306
 
4.0%
l305
 
4.0%
Other values (16)4513
59.0%
Uppercase Letter
ValueCountFrequency (%)
U329
 
4.4%
H322
 
4.3%
R313
 
4.2%
T309
 
4.1%
A306
 
4.1%
M298
 
4.0%
Y296
 
4.0%
X295
 
3.9%
K295
 
3.9%
L292
 
3.9%
Other values (16)4422
59.1%
Decimal Number
ValueCountFrequency (%)
0324
11.3%
2310
10.8%
7305
10.6%
8293
10.2%
9282
9.8%
3281
9.8%
4274
9.6%
6272
9.5%
1270
9.4%
5258
9.0%

Most occurring scripts

ValueCountFrequency (%)
Latin15131
84.1%
Common2869
 
15.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
a332
 
2.2%
U329
 
2.2%
y328
 
2.2%
H322
 
2.1%
f318
 
2.1%
g316
 
2.1%
j313
 
2.1%
R313
 
2.1%
m310
 
2.0%
T309
 
2.0%
Other values (42)11941
78.9%
Common
ValueCountFrequency (%)
0324
11.3%
2310
10.8%
7305
10.6%
8293
10.2%
9282
9.8%
3281
9.8%
4274
9.6%
6272
9.5%
1270
9.4%
5258
9.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII18000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a332
 
1.8%
U329
 
1.8%
y328
 
1.8%
0324
 
1.8%
H322
 
1.8%
f318
 
1.8%
g316
 
1.8%
j313
 
1.7%
R313
 
1.7%
m310
 
1.7%
Other values (52)14795
82.2%

RSSTAT
Categorical

HIGH CARDINALITY
UNIFORM
UNIQUE

Distinct1000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
hDREmQBKxsJZNaZlYo
 
1
6s2LuwRz8gcJlNpatm
 
1
6I3mb9dvizfoviYAMy
 
1
nY3nXzw9djA1aHAEq3
 
1
14APo6JddAhcSrHjK0
 
1
Other values (995)
995 

Length

Max length18
Median length18
Mean length18
Min length18

Characters and Unicode

Total characters18000
Distinct characters62
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1000 ?
Unique (%)100.0%

Sample

1st rowhDREmQBKxsJZNaZlYo
2nd rowZRB7KhTsv5sQfHL55S
3rd row4tKTykeEocpQiWFzbz
4th rowtj594SUhYafxsF4RLu
5th rowJzwI79FAHVBgSaiXfS

Common Values

ValueCountFrequency (%)
hDREmQBKxsJZNaZlYo1
 
0.1%
6s2LuwRz8gcJlNpatm1
 
0.1%
6I3mb9dvizfoviYAMy1
 
0.1%
nY3nXzw9djA1aHAEq31
 
0.1%
14APo6JddAhcSrHjK01
 
0.1%
Uz0DiviFKOavv1PphE1
 
0.1%
vAkvrXy5JHBAPxkRvw1
 
0.1%
K6D2SrNzruWGbUI6j51
 
0.1%
LBt0Y5ZSBDoMqf9laH1
 
0.1%
xP87lIrQGjcspnK2zF1
 
0.1%
Other values (990)990
99.0%

Length

2022-07-14T13:34:37.469110image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
hdremqbkxsjznazlyo1
 
0.1%
yzgrcu0gpfnjrsq5z21
 
0.1%
ge5iqvgrwcxrm3v23p1
 
0.1%
by81ifbxmda9zwxs3a1
 
0.1%
4tktykeeocpqiwfzbz1
 
0.1%
tj594suhyafxsf4rlu1
 
0.1%
jzwi79fahvbgsaixfs1
 
0.1%
jusg2gfxq0crncxgtf1
 
0.1%
jor0mbkbydjz1ax0bc1
 
0.1%
j5ui2ij363g6gfzjf91
 
0.1%
Other values (990)990
99.0%

Most occurring characters

ValueCountFrequency (%)
c314
 
1.7%
s313
 
1.7%
O313
 
1.7%
f313
 
1.7%
F312
 
1.7%
7312
 
1.7%
u312
 
1.7%
S310
 
1.7%
n310
 
1.7%
t307
 
1.7%
Other values (52)14884
82.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter7601
42.2%
Uppercase Letter7519
41.8%
Decimal Number2880
 
16.0%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
c314
 
4.1%
s313
 
4.1%
f313
 
4.1%
u312
 
4.1%
n310
 
4.1%
t307
 
4.0%
r305
 
4.0%
x303
 
4.0%
a301
 
4.0%
l299
 
3.9%
Other values (16)4524
59.5%
Uppercase Letter
ValueCountFrequency (%)
O313
 
4.2%
F312
 
4.1%
S310
 
4.1%
U302
 
4.0%
A302
 
4.0%
G300
 
4.0%
N297
 
3.9%
K294
 
3.9%
I293
 
3.9%
W292
 
3.9%
Other values (16)4504
59.9%
Decimal Number
ValueCountFrequency (%)
7312
10.8%
4302
10.5%
0300
10.4%
9295
10.2%
3290
10.1%
6290
10.1%
2287
10.0%
1270
9.4%
5268
9.3%
8266
9.2%

Most occurring scripts

ValueCountFrequency (%)
Latin15120
84.0%
Common2880
 
16.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
c314
 
2.1%
s313
 
2.1%
O313
 
2.1%
f313
 
2.1%
F312
 
2.1%
u312
 
2.1%
S310
 
2.1%
n310
 
2.1%
t307
 
2.0%
r305
 
2.0%
Other values (42)12011
79.4%
Common
ValueCountFrequency (%)
7312
10.8%
4302
10.5%
0300
10.4%
9295
10.2%
3290
10.1%
6290
10.1%
2287
10.0%
1270
9.4%
5268
9.3%
8266
9.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII18000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
c314
 
1.7%
s313
 
1.7%
O313
 
1.7%
f313
 
1.7%
F312
 
1.7%
7312
 
1.7%
u312
 
1.7%
S310
 
1.7%
n310
 
1.7%
t307
 
1.7%
Other values (52)14884
82.7%

REPRST
Categorical

HIGH CARDINALITY
UNIFORM
UNIQUE

Distinct1000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
EXwjOQ56psDHxiuGb0
 
1
ieGxcamMkY77HfziZB
 
1
MUyRktgmrhIKPWPNtK
 
1
yfXAStfLBinY8czhlw
 
1
szQ1ZMGSf0qHtPqBuL
 
1
Other values (995)
995 

Length

Max length18
Median length18
Mean length18
Min length18

Characters and Unicode

Total characters18000
Distinct characters62
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1000 ?
Unique (%)100.0%

Sample

1st rowEXwjOQ56psDHxiuGb0
2nd rowOh2HTa57JYJ3hNRgIU
3rd rowMCPfvvnlc7fz1oOKpz
4th row5Di2c7RWSpBOZRayFn
5th rowXdrUqOEF5rbHTZl0xc

Common Values

ValueCountFrequency (%)
EXwjOQ56psDHxiuGb01
 
0.1%
ieGxcamMkY77HfziZB1
 
0.1%
MUyRktgmrhIKPWPNtK1
 
0.1%
yfXAStfLBinY8czhlw1
 
0.1%
szQ1ZMGSf0qHtPqBuL1
 
0.1%
zrNC2zEbZQSaNB6fjv1
 
0.1%
lvQpYellET6evpDtio1
 
0.1%
RUMNar57xXOq4ERLJG1
 
0.1%
3w7TzL9kATMRvoZHfO1
 
0.1%
HAt9R2PvVGJCLetdsw1
 
0.1%
Other values (990)990
99.0%

Length

2022-07-14T13:34:37.580083image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
exwjoq56psdhxiugb01
 
0.1%
io5ol875qvxiqfaknn1
 
0.1%
or3th2w8ghmzxcxnty1
 
0.1%
ph1gypibtp2ydvafpm1
 
0.1%
mcpfvvnlc7fz1ookpz1
 
0.1%
5di2c7rwspbozrayfn1
 
0.1%
xdruqoef5rbhtzl0xc1
 
0.1%
ykgmeprfzavzcqfg7y1
 
0.1%
ewvdd1jpthtgrb3syk1
 
0.1%
mzhfnctc3x7pgmdnvs1
 
0.1%
Other values (990)990
99.0%

Most occurring characters

ValueCountFrequency (%)
l334
 
1.9%
p333
 
1.8%
y323
 
1.8%
c322
 
1.8%
D312
 
1.7%
j310
 
1.7%
8309
 
1.7%
s309
 
1.7%
z309
 
1.7%
w307
 
1.7%
Other values (52)14832
82.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter7637
42.4%
Uppercase Letter7474
41.5%
Decimal Number2889
 
16.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
l334
 
4.4%
p333
 
4.4%
y323
 
4.2%
c322
 
4.2%
j310
 
4.1%
s309
 
4.0%
z309
 
4.0%
w307
 
4.0%
f306
 
4.0%
a306
 
4.0%
Other values (16)4478
58.6%
Uppercase Letter
ValueCountFrequency (%)
D312
 
4.2%
O307
 
4.1%
C303
 
4.1%
Z303
 
4.1%
E303
 
4.1%
Q302
 
4.0%
X301
 
4.0%
W299
 
4.0%
Y298
 
4.0%
L296
 
4.0%
Other values (16)4450
59.5%
Decimal Number
ValueCountFrequency (%)
8309
10.7%
7302
10.5%
5297
10.3%
9297
10.3%
6292
10.1%
0290
10.0%
1289
10.0%
2287
9.9%
4267
9.2%
3259
9.0%

Most occurring scripts

ValueCountFrequency (%)
Latin15111
84.0%
Common2889
 
16.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
l334
 
2.2%
p333
 
2.2%
y323
 
2.1%
c322
 
2.1%
D312
 
2.1%
j310
 
2.1%
s309
 
2.0%
z309
 
2.0%
w307
 
2.0%
O307
 
2.0%
Other values (42)11945
79.0%
Common
ValueCountFrequency (%)
8309
10.7%
7302
10.5%
5297
10.3%
9297
10.3%
6292
10.1%
0290
10.0%
1289
10.0%
2287
9.9%
4267
9.2%
3259
9.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII18000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
l334
 
1.9%
p333
 
1.8%
y323
 
1.8%
c322
 
1.8%
D312
 
1.7%
j310
 
1.7%
8309
 
1.7%
s309
 
1.7%
z309
 
1.7%
w307
 
1.7%
Other values (52)14832
82.4%

LIBRST
Categorical

HIGH CARDINALITY
UNIFORM
UNIQUE

Distinct1000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
kPz04DFlMuHRxVQ7s3
 
1
ATl32OqfMY548DnblO
 
1
o6p65ScZBgUse8UwmE
 
1
qse84FDyAZKzxeDR0l
 
1
bPEtaUPrey4cQF12Vw
 
1
Other values (995)
995 

Length

Max length18
Median length18
Mean length18
Min length18

Characters and Unicode

Total characters18000
Distinct characters62
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1000 ?
Unique (%)100.0%

Sample

1st rowkPz04DFlMuHRxVQ7s3
2nd rowGcDTMJikS2L4hrwD4j
3rd row5x7oVtYpFiZswFmjaC
4th rowweq4zJHa248kuQaq30
5th rowVZ6LOPORsfOU4TKmuX

Common Values

ValueCountFrequency (%)
kPz04DFlMuHRxVQ7s31
 
0.1%
ATl32OqfMY548DnblO1
 
0.1%
o6p65ScZBgUse8UwmE1
 
0.1%
qse84FDyAZKzxeDR0l1
 
0.1%
bPEtaUPrey4cQF12Vw1
 
0.1%
oLLlEpz9XZAPnooFdS1
 
0.1%
uoKD6VyspLv3QhBj521
 
0.1%
RxGzCFsXsoLrEsBmDL1
 
0.1%
vhYQQNnEdwI4kbO16T1
 
0.1%
M1bYpJz9VpiEGxrfkF1
 
0.1%
Other values (990)990
99.0%

Length

2022-07-14T13:34:37.701293image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
kpz04dflmuhrxvq7s31
 
0.1%
juxlabsliyiapu2vsq1
 
0.1%
qr0zudzpjg4fk9eykp1
 
0.1%
41hnuvb8rtjkgy1wpu1
 
0.1%
5x7ovtypfizswfmjac1
 
0.1%
weq4zjha248kuqaq301
 
0.1%
vz6loporsfou4tkmux1
 
0.1%
cqvbrtpfzekhyovdsv1
 
0.1%
yejdbpacxzl9emls051
 
0.1%
qu2cf1wm9mgcfefq1e1
 
0.1%
Other values (990)990
99.0%

Most occurring characters

ValueCountFrequency (%)
k320
 
1.8%
j319
 
1.8%
p317
 
1.8%
u316
 
1.8%
F314
 
1.7%
D313
 
1.7%
B312
 
1.7%
f311
 
1.7%
2306
 
1.7%
b305
 
1.7%
Other values (52)14867
82.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter7545
41.9%
Uppercase Letter7521
41.8%
Decimal Number2934
 
16.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
k320
 
4.2%
j319
 
4.2%
p317
 
4.2%
u316
 
4.2%
f311
 
4.1%
b305
 
4.0%
d297
 
3.9%
n296
 
3.9%
g296
 
3.9%
r295
 
3.9%
Other values (16)4473
59.3%
Uppercase Letter
ValueCountFrequency (%)
F314
 
4.2%
D313
 
4.2%
B312
 
4.1%
Z304
 
4.0%
C303
 
4.0%
Y302
 
4.0%
U301
 
4.0%
W298
 
4.0%
M298
 
4.0%
H296
 
3.9%
Other values (16)4480
59.6%
Decimal Number
ValueCountFrequency (%)
2306
10.4%
4302
10.3%
8299
10.2%
0297
10.1%
3296
10.1%
6295
10.1%
9292
10.0%
1291
9.9%
7281
9.6%
5275
9.4%

Most occurring scripts

ValueCountFrequency (%)
Latin15066
83.7%
Common2934
 
16.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
k320
 
2.1%
j319
 
2.1%
p317
 
2.1%
u316
 
2.1%
F314
 
2.1%
D313
 
2.1%
B312
 
2.1%
f311
 
2.1%
b305
 
2.0%
Z304
 
2.0%
Other values (42)11935
79.2%
Common
ValueCountFrequency (%)
2306
10.4%
4302
10.3%
8299
10.2%
0297
10.1%
3296
10.1%
6295
10.1%
9292
10.0%
1291
9.9%
7281
9.6%
5275
9.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII18000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
k320
 
1.8%
j319
 
1.8%
p317
 
1.8%
u316
 
1.8%
F314
 
1.7%
D313
 
1.7%
B312
 
1.7%
f311
 
1.7%
2306
 
1.7%
b305
 
1.7%
Other values (52)14867
82.6%

ANCIEN
Categorical

HIGH CARDINALITY

Distinct349
Distinct (%)34.9%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
10/24/2021
 
10
2/27/2022
 
8
5/22/2022
 
8
2/22/2022
 
7
10/2/2021
 
7
Other values (344)
960 

Length

Max length10
Median length9
Mean length9
Min length8

Characters and Unicode

Total characters9000
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique69 ?
Unique (%)6.9%

Sample

1st row9/16/2021
2nd row8/6/2021
3rd row12/6/2021
4th row1/8/2022
5th row8/28/2021

Common Values

ValueCountFrequency (%)
10/24/202110
 
1.0%
2/27/20228
 
0.8%
5/22/20228
 
0.8%
2/22/20227
 
0.7%
10/2/20217
 
0.7%
2/25/20227
 
0.7%
5/6/20227
 
0.7%
8/13/20217
 
0.7%
8/29/20216
 
0.6%
6/15/20226
 
0.6%
Other values (339)927
92.7%

Length

2022-07-14T13:34:37.824908image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
10/24/202110
 
1.0%
5/22/20228
 
0.8%
2/27/20228
 
0.8%
2/22/20227
 
0.7%
10/2/20217
 
0.7%
2/25/20227
 
0.7%
5/6/20227
 
0.7%
8/13/20217
 
0.7%
10/28/20216
 
0.6%
3/18/20226
 
0.6%
Other values (339)927
92.7%

Most occurring characters

ValueCountFrequency (%)
23114
34.6%
/2000
22.2%
11401
15.6%
01193
 
13.3%
3236
 
2.6%
8194
 
2.2%
6178
 
2.0%
5174
 
1.9%
7171
 
1.9%
9171
 
1.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number7000
77.8%
Other Punctuation2000
 
22.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
23114
44.5%
11401
20.0%
01193
 
17.0%
3236
 
3.4%
8194
 
2.8%
6178
 
2.5%
5174
 
2.5%
7171
 
2.4%
9171
 
2.4%
4168
 
2.4%
Other Punctuation
ValueCountFrequency (%)
/2000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common9000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
23114
34.6%
/2000
22.2%
11401
15.6%
01193
 
13.3%
3236
 
2.6%
8194
 
2.2%
6178
 
2.0%
5174
 
1.9%
7171
 
1.9%
9171
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII9000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
23114
34.6%
/2000
22.2%
11401
15.6%
01193
 
13.3%
3236
 
2.6%
8194
 
2.2%
6178
 
2.0%
5174
 
1.9%
7171
 
1.9%
9171
 
1.9%

DATEUT
Categorical

HIGH CARDINALITY

Distinct341
Distinct (%)34.1%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
2/23/2022
 
8
1/15/2022
 
8
8/9/2021
 
8
6/22/2022
 
7
2/13/2022
 
7
Other values (336)
962 

Length

Max length10
Median length9
Mean length8.969
Min length8

Characters and Unicode

Total characters8969
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique60 ?
Unique (%)6.0%

Sample

1st row9/21/2021
2nd row2/25/2022
3rd row5/9/2022
4th row8/16/2021
5th row11/22/2021

Common Values

ValueCountFrequency (%)
2/23/20228
 
0.8%
1/15/20228
 
0.8%
8/9/20218
 
0.8%
6/22/20227
 
0.7%
2/13/20227
 
0.7%
7/31/20217
 
0.7%
11/18/20217
 
0.7%
3/29/20227
 
0.7%
6/28/20227
 
0.7%
5/21/20226
 
0.6%
Other values (331)928
92.8%

Length

2022-07-14T13:34:37.968950image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2/23/20228
 
0.8%
8/9/20218
 
0.8%
1/15/20228
 
0.8%
6/22/20227
 
0.7%
2/13/20227
 
0.7%
7/31/20217
 
0.7%
11/18/20217
 
0.7%
3/29/20227
 
0.7%
6/28/20227
 
0.7%
9/8/20216
 
0.6%
Other values (331)928
92.8%

Most occurring characters

ValueCountFrequency (%)
23100
34.6%
/2000
22.3%
11386
15.5%
01157
 
12.9%
3209
 
2.3%
6207
 
2.3%
8195
 
2.2%
9190
 
2.1%
7188
 
2.1%
4169
 
1.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number6969
77.7%
Other Punctuation2000
 
22.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
23100
44.5%
11386
19.9%
01157
 
16.6%
3209
 
3.0%
6207
 
3.0%
8195
 
2.8%
9190
 
2.7%
7188
 
2.7%
4169
 
2.4%
5168
 
2.4%
Other Punctuation
ValueCountFrequency (%)
/2000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common8969
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
23100
34.6%
/2000
22.3%
11386
15.5%
01157
 
12.9%
3209
 
2.3%
6207
 
2.3%
8195
 
2.2%
9190
 
2.1%
7188
 
2.1%
4169
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII8969
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
23100
34.6%
/2000
22.3%
11386
15.5%
01157
 
12.9%
3209
 
2.3%
6207
 
2.3%
8195
 
2.2%
9190
 
2.1%
7188
 
2.1%
4169
 
1.9%

ANCIE3
Categorical

HIGH CARDINALITY

Distinct340
Distinct (%)34.0%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
11/12/2021
 
10
12/29/2021
 
8
8/15/2021
 
8
2/8/2022
 
7
12/5/2021
 
7
Other values (335)
960 

Length

Max length10
Median length9
Mean length8.94
Min length8

Characters and Unicode

Total characters8940
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique54 ?
Unique (%)5.4%

Sample

1st row7/31/2021
2nd row4/7/2022
3rd row2/10/2022
4th row9/23/2021
5th row3/18/2022

Common Values

ValueCountFrequency (%)
11/12/202110
 
1.0%
12/29/20218
 
0.8%
8/15/20218
 
0.8%
2/8/20227
 
0.7%
12/5/20217
 
0.7%
1/12/20227
 
0.7%
12/16/20217
 
0.7%
7/21/20217
 
0.7%
2/1/20227
 
0.7%
6/12/20226
 
0.6%
Other values (330)926
92.6%

Length

2022-07-14T13:34:38.109075image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
11/12/202110
 
1.0%
8/15/20218
 
0.8%
12/29/20218
 
0.8%
2/8/20227
 
0.7%
12/5/20217
 
0.7%
1/12/20227
 
0.7%
12/16/20217
 
0.7%
7/21/20217
 
0.7%
2/1/20227
 
0.7%
11/30/20216
 
0.6%
Other values (330)926
92.6%

Most occurring characters

ValueCountFrequency (%)
23127
35.0%
/2000
22.4%
11371
15.3%
01180
 
13.2%
3223
 
2.5%
4183
 
2.0%
9182
 
2.0%
5180
 
2.0%
6175
 
2.0%
8160
 
1.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number6940
77.6%
Other Punctuation2000
 
22.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
23127
45.1%
11371
19.8%
01180
 
17.0%
3223
 
3.2%
4183
 
2.6%
9182
 
2.6%
5180
 
2.6%
6175
 
2.5%
8160
 
2.3%
7159
 
2.3%
Other Punctuation
ValueCountFrequency (%)
/2000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common8940
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
23127
35.0%
/2000
22.4%
11371
15.3%
01180
 
13.2%
3223
 
2.5%
4183
 
2.0%
9182
 
2.0%
5180
 
2.0%
6175
 
2.0%
8160
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII8940
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
23127
35.0%
/2000
22.4%
11371
15.3%
01180
 
13.2%
3223
 
2.5%
4183
 
2.0%
9182
 
2.0%
5180
 
2.0%
6175
 
2.0%
8160
 
1.8%

ANCIE4
Categorical

HIGH CARDINALITY

Distinct345
Distinct (%)34.5%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
6/11/2022
 
10
12/15/2021
 
9
2/20/2022
 
8
12/18/2021
 
8
4/24/2022
 
8
Other values (340)
957 

Length

Max length10
Median length9
Mean length8.954
Min length8

Characters and Unicode

Total characters8954
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique67 ?
Unique (%)6.7%

Sample

1st row7/7/2022
2nd row2/14/2022
3rd row10/16/2021
4th row6/27/2022
5th row11/13/2021

Common Values

ValueCountFrequency (%)
6/11/202210
 
1.0%
12/15/20219
 
0.9%
2/20/20228
 
0.8%
12/18/20218
 
0.8%
4/24/20228
 
0.8%
3/1/20228
 
0.8%
7/17/20218
 
0.8%
3/8/20227
 
0.7%
2/6/20227
 
0.7%
3/15/20227
 
0.7%
Other values (335)920
92.0%

Length

2022-07-14T13:34:38.255475image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
6/11/202210
 
1.0%
12/15/20219
 
0.9%
2/20/20228
 
0.8%
12/18/20218
 
0.8%
4/24/20228
 
0.8%
3/1/20228
 
0.8%
7/17/20218
 
0.8%
11/24/20217
 
0.7%
9/10/20217
 
0.7%
9/23/20217
 
0.7%
Other values (335)920
92.0%

Most occurring characters

ValueCountFrequency (%)
23090
34.5%
/2000
22.3%
11362
15.2%
01175
 
13.1%
3240
 
2.7%
7197
 
2.2%
4183
 
2.0%
6181
 
2.0%
5178
 
2.0%
8175
 
2.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number6954
77.7%
Other Punctuation2000
 
22.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
23090
44.4%
11362
19.6%
01175
 
16.9%
3240
 
3.5%
7197
 
2.8%
4183
 
2.6%
6181
 
2.6%
5178
 
2.6%
8175
 
2.5%
9173
 
2.5%
Other Punctuation
ValueCountFrequency (%)
/2000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common8954
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
23090
34.5%
/2000
22.3%
11362
15.2%
01175
 
13.1%
3240
 
2.7%
7197
 
2.2%
4183
 
2.0%
6181
 
2.0%
5178
 
2.0%
8175
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII8954
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
23090
34.5%
/2000
22.3%
11362
15.2%
01175
 
13.1%
3240
 
2.7%
7197
 
2.2%
4183
 
2.0%
6181
 
2.0%
5178
 
2.0%
8175
 
2.0%

ANCIE5
Categorical

HIGH CARDINALITY
UNIFORM

Distinct340
Distinct (%)34.0%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
3/9/2022
 
8
6/15/2022
 
8
10/1/2021
 
7
8/7/2021
 
7
3/19/2022
 
7
Other values (335)
963 

Length

Max length10
Median length9
Mean length8.941
Min length8

Characters and Unicode

Total characters8941
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique63 ?
Unique (%)6.3%

Sample

1st row9/24/2021
2nd row1/13/2022
3rd row3/27/2022
4th row9/29/2021
5th row11/19/2021

Common Values

ValueCountFrequency (%)
3/9/20228
 
0.8%
6/15/20228
 
0.8%
10/1/20217
 
0.7%
8/7/20217
 
0.7%
3/19/20227
 
0.7%
3/21/20226
 
0.6%
9/6/20216
 
0.6%
1/13/20226
 
0.6%
10/2/20216
 
0.6%
2/1/20226
 
0.6%
Other values (330)933
93.3%

Length

2022-07-14T13:34:38.396960image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
3/9/20228
 
0.8%
6/15/20228
 
0.8%
10/1/20217
 
0.7%
8/7/20217
 
0.7%
3/19/20227
 
0.7%
5/2/20226
 
0.6%
5/20/20226
 
0.6%
9/17/20216
 
0.6%
5/14/20226
 
0.6%
12/6/20216
 
0.6%
Other values (330)933
93.3%

Most occurring characters

ValueCountFrequency (%)
23095
34.6%
/2000
22.4%
11347
15.1%
01171
 
13.1%
3243
 
2.7%
5197
 
2.2%
6190
 
2.1%
4185
 
2.1%
9175
 
2.0%
8171
 
1.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number6941
77.6%
Other Punctuation2000
 
22.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
23095
44.6%
11347
19.4%
01171
 
16.9%
3243
 
3.5%
5197
 
2.8%
6190
 
2.7%
4185
 
2.7%
9175
 
2.5%
8171
 
2.5%
7167
 
2.4%
Other Punctuation
ValueCountFrequency (%)
/2000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common8941
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
23095
34.6%
/2000
22.4%
11347
15.1%
01171
 
13.1%
3243
 
2.7%
5197
 
2.2%
6190
 
2.1%
4185
 
2.1%
9175
 
2.0%
8171
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII8941
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
23095
34.6%
/2000
22.4%
11347
15.1%
01171
 
13.1%
3243
 
2.7%
5197
 
2.2%
6190
 
2.1%
4185
 
2.1%
9175
 
2.0%
8171
 
1.9%

ANCIE6
Categorical

HIGH CARDINALITY

Distinct347
Distinct (%)34.7%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
12/3/2021
 
9
10/17/2021
 
9
10/10/2021
 
8
9/23/2021
 
8
2/20/2022
 
7
Other values (342)
959 

Length

Max length10
Median length9
Mean length8.958
Min length8

Characters and Unicode

Total characters8958
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique63 ?
Unique (%)6.3%

Sample

1st row8/18/2021
2nd row12/26/2021
3rd row2/5/2022
4th row5/31/2022
5th row3/13/2022

Common Values

ValueCountFrequency (%)
12/3/20219
 
0.9%
10/17/20219
 
0.9%
10/10/20218
 
0.8%
9/23/20218
 
0.8%
2/20/20227
 
0.7%
6/23/20227
 
0.7%
3/3/20227
 
0.7%
10/22/20216
 
0.6%
5/20/20226
 
0.6%
9/12/20216
 
0.6%
Other values (337)927
92.7%

Length

2022-07-14T13:34:38.542212image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
12/3/20219
 
0.9%
10/17/20219
 
0.9%
10/10/20218
 
0.8%
9/23/20218
 
0.8%
2/20/20227
 
0.7%
6/23/20227
 
0.7%
3/3/20227
 
0.7%
7/28/20216
 
0.6%
6/30/20226
 
0.6%
1/2/20226
 
0.6%
Other values (337)927
92.7%

Most occurring characters

ValueCountFrequency (%)
23129
34.9%
/2000
22.3%
11306
14.6%
01193
 
13.3%
3253
 
2.8%
7191
 
2.1%
5187
 
2.1%
8184
 
2.1%
6180
 
2.0%
9174
 
1.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number6958
77.7%
Other Punctuation2000
 
22.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
23129
45.0%
11306
18.8%
01193
 
17.1%
3253
 
3.6%
7191
 
2.7%
5187
 
2.7%
8184
 
2.6%
6180
 
2.6%
9174
 
2.5%
4161
 
2.3%
Other Punctuation
ValueCountFrequency (%)
/2000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common8958
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
23129
34.9%
/2000
22.3%
11306
14.6%
01193
 
13.3%
3253
 
2.8%
7191
 
2.1%
5187
 
2.1%
8184
 
2.1%
6180
 
2.0%
9174
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII8958
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
23129
34.9%
/2000
22.3%
11306
14.6%
01193
 
13.3%
3253
 
2.8%
7191
 
2.1%
5187
 
2.1%
8184
 
2.1%
6180
 
2.0%
9174
 
1.9%

ANCIE7
Categorical

HIGH CARDINALITY

Distinct341
Distinct (%)34.1%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
8/21/2021
 
8
4/29/2022
 
8
9/1/2021
 
8
10/4/2021
 
7
4/11/2022
 
7
Other values (336)
962 

Length

Max length10
Median length9
Mean length8.937
Min length8

Characters and Unicode

Total characters8937
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique61 ?
Unique (%)6.1%

Sample

1st row9/10/2021
2nd row10/14/2021
3rd row10/23/2021
4th row8/17/2021
5th row2/18/2022

Common Values

ValueCountFrequency (%)
8/21/20218
 
0.8%
4/29/20228
 
0.8%
9/1/20218
 
0.8%
10/4/20217
 
0.7%
4/11/20227
 
0.7%
2/10/20227
 
0.7%
7/30/20217
 
0.7%
9/29/20217
 
0.7%
11/29/20216
 
0.6%
5/7/20226
 
0.6%
Other values (331)929
92.9%

Length

2022-07-14T13:34:38.687178image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
8/21/20218
 
0.8%
9/1/20218
 
0.8%
4/29/20228
 
0.8%
10/4/20217
 
0.7%
4/11/20227
 
0.7%
2/10/20227
 
0.7%
7/30/20217
 
0.7%
9/29/20217
 
0.7%
1/19/20226
 
0.6%
3/19/20226
 
0.6%
Other values (331)929
92.9%

Most occurring characters

ValueCountFrequency (%)
23106
34.8%
/2000
22.4%
11301
14.6%
01153
 
12.9%
3235
 
2.6%
9203
 
2.3%
7195
 
2.2%
6194
 
2.2%
8184
 
2.1%
5184
 
2.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number6937
77.6%
Other Punctuation2000
 
22.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
23106
44.8%
11301
18.8%
01153
 
16.6%
3235
 
3.4%
9203
 
2.9%
7195
 
2.8%
6194
 
2.8%
8184
 
2.7%
5184
 
2.7%
4182
 
2.6%
Other Punctuation
ValueCountFrequency (%)
/2000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common8937
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
23106
34.8%
/2000
22.4%
11301
14.6%
01153
 
12.9%
3235
 
2.6%
9203
 
2.3%
7195
 
2.2%
6194
 
2.2%
8184
 
2.1%
5184
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII8937
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
23106
34.8%
/2000
22.4%
11301
14.6%
01153
 
12.9%
3235
 
2.6%
9203
 
2.3%
7195
 
2.2%
6194
 
2.2%
8184
 
2.1%
5184
 
2.1%

ANCIE8
Categorical

HIGH CARDINALITY

Distinct336
Distinct (%)33.6%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
3/31/2022
 
9
12/25/2021
 
8
12/15/2021
 
7
8/2/2021
 
7
5/18/2022
 
7
Other values (331)
962 

Length

Max length10
Median length9
Mean length8.927
Min length8

Characters and Unicode

Total characters8927
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique68 ?
Unique (%)6.8%

Sample

1st row5/24/2022
2nd row10/13/2021
3rd row8/6/2021
4th row3/22/2022
5th row9/24/2021

Common Values

ValueCountFrequency (%)
3/31/20229
 
0.9%
12/25/20218
 
0.8%
12/15/20217
 
0.7%
8/2/20217
 
0.7%
5/18/20227
 
0.7%
4/26/20227
 
0.7%
3/19/20227
 
0.7%
1/7/20227
 
0.7%
3/3/20227
 
0.7%
3/14/20227
 
0.7%
Other values (326)927
92.7%

Length

2022-07-14T13:34:38.826724image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
3/31/20229
 
0.9%
12/25/20218
 
0.8%
3/19/20227
 
0.7%
3/14/20227
 
0.7%
1/7/20227
 
0.7%
3/3/20227
 
0.7%
4/26/20227
 
0.7%
5/18/20227
 
0.7%
8/2/20217
 
0.7%
12/15/20217
 
0.7%
Other values (326)927
92.7%

Most occurring characters

ValueCountFrequency (%)
23122
35.0%
/2000
22.4%
11281
14.3%
01183
 
13.3%
3244
 
2.7%
4194
 
2.2%
5188
 
2.1%
8188
 
2.1%
6181
 
2.0%
9179
 
2.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number6927
77.6%
Other Punctuation2000
 
22.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
23122
45.1%
11281
18.5%
01183
 
17.1%
3244
 
3.5%
4194
 
2.8%
5188
 
2.7%
8188
 
2.7%
6181
 
2.6%
9179
 
2.6%
7167
 
2.4%
Other Punctuation
ValueCountFrequency (%)
/2000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common8927
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
23122
35.0%
/2000
22.4%
11281
14.3%
01183
 
13.3%
3244
 
2.7%
4194
 
2.2%
5188
 
2.1%
8188
 
2.1%
6181
 
2.0%
9179
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII8927
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
23122
35.0%
/2000
22.4%
11281
14.3%
01183
 
13.3%
3244
 
2.7%
4194
 
2.2%
5188
 
2.1%
8188
 
2.1%
6181
 
2.0%
9179
 
2.0%

ANCIE9
Categorical

HIGH CARDINALITY
UNIFORM

Distinct344
Distinct (%)34.4%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
8/25/2021
 
8
5/10/2022
 
8
10/4/2021
 
7
3/18/2022
 
7
6/15/2022
 
7
Other values (339)
963 

Length

Max length10
Median length9
Mean length8.945
Min length8

Characters and Unicode

Total characters8945
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique59 ?
Unique (%)5.9%

Sample

1st row8/9/2021
2nd row5/21/2022
3rd row3/19/2022
4th row3/2/2022
5th row6/18/2022

Common Values

ValueCountFrequency (%)
8/25/20218
 
0.8%
5/10/20228
 
0.8%
10/4/20217
 
0.7%
3/18/20227
 
0.7%
6/15/20227
 
0.7%
6/4/20227
 
0.7%
5/25/20227
 
0.7%
12/20/20217
 
0.7%
9/11/20217
 
0.7%
7/14/20217
 
0.7%
Other values (334)928
92.8%

Length

2022-07-14T13:34:38.971352image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
8/25/20218
 
0.8%
5/10/20228
 
0.8%
10/4/20217
 
0.7%
3/18/20227
 
0.7%
6/15/20227
 
0.7%
6/4/20227
 
0.7%
5/25/20227
 
0.7%
12/20/20217
 
0.7%
9/11/20217
 
0.7%
7/14/20217
 
0.7%
Other values (334)928
92.8%

Most occurring characters

ValueCountFrequency (%)
23073
34.4%
/2000
22.4%
11328
14.8%
01165
 
13.0%
3241
 
2.7%
5208
 
2.3%
7190
 
2.1%
4188
 
2.1%
9186
 
2.1%
8185
 
2.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number6945
77.6%
Other Punctuation2000
 
22.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
23073
44.2%
11328
19.1%
01165
 
16.8%
3241
 
3.5%
5208
 
3.0%
7190
 
2.7%
4188
 
2.7%
9186
 
2.7%
8185
 
2.7%
6181
 
2.6%
Other Punctuation
ValueCountFrequency (%)
/2000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common8945
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
23073
34.4%
/2000
22.4%
11328
14.8%
01165
 
13.0%
3241
 
2.7%
5208
 
2.3%
7190
 
2.1%
4188
 
2.1%
9186
 
2.1%
8185
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII8945
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
23073
34.4%
/2000
22.4%
11328
14.8%
01165
 
13.0%
3241
 
2.7%
5208
 
2.3%
7190
 
2.1%
4188
 
2.1%
9186
 
2.1%
8185
 
2.1%

ANCIE0
Categorical

HIGH CARDINALITY
UNIFORM

Distinct332
Distinct (%)33.2%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
11/21/2021
 
9
2/26/2022
 
8
9/27/2021
 
7
3/17/2022
 
7
3/21/2022
 
7
Other values (327)
962 

Length

Max length10
Median length9
Mean length8.931
Min length8

Characters and Unicode

Total characters8931
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique53 ?
Unique (%)5.3%

Sample

1st row4/30/2022
2nd row2/2/2022
3rd row12/16/2021
4th row9/4/2021
5th row7/28/2021

Common Values

ValueCountFrequency (%)
11/21/20219
 
0.9%
2/26/20228
 
0.8%
9/27/20217
 
0.7%
3/17/20227
 
0.7%
3/21/20227
 
0.7%
4/4/20227
 
0.7%
9/29/20217
 
0.7%
3/12/20226
 
0.6%
8/9/20216
 
0.6%
3/13/20226
 
0.6%
Other values (322)930
93.0%

Length

2022-07-14T13:34:39.119196image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
11/21/20219
 
0.9%
2/26/20228
 
0.8%
9/27/20217
 
0.7%
3/21/20227
 
0.7%
4/4/20227
 
0.7%
9/29/20217
 
0.7%
3/17/20227
 
0.7%
9/14/20216
 
0.6%
7/8/20216
 
0.6%
10/10/20216
 
0.6%
Other values (322)930
93.0%

Most occurring characters

ValueCountFrequency (%)
23109
34.8%
/2000
22.4%
11296
14.5%
01153
 
12.9%
3249
 
2.8%
7205
 
2.3%
6196
 
2.2%
4191
 
2.1%
9186
 
2.1%
8184
 
2.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number6931
77.6%
Other Punctuation2000
 
22.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
23109
44.9%
11296
18.7%
01153
 
16.6%
3249
 
3.6%
7205
 
3.0%
6196
 
2.8%
4191
 
2.8%
9186
 
2.7%
8184
 
2.7%
5162
 
2.3%
Other Punctuation
ValueCountFrequency (%)
/2000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common8931
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
23109
34.8%
/2000
22.4%
11296
14.5%
01153
 
12.9%
3249
 
2.8%
7205
 
2.3%
6196
 
2.2%
4191
 
2.1%
9186
 
2.1%
8184
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII8931
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
23109
34.8%
/2000
22.4%
11296
14.5%
01153
 
12.9%
3249
 
2.8%
7205
 
2.3%
6196
 
2.2%
4191
 
2.1%
9186
 
2.1%
8184
 
2.1%

LIBMAT
Categorical

HIGH CARDINALITY
UNIFORM
UNIQUE

Distinct1000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
GyzDVrIwQ5xu46V41P
 
1
qY6rCHpRqiMKaG7c2g
 
1
ti8abmGTUQ6SFFmlhC
 
1
OTAlJXaP9rZEJ64IuW
 
1
6RCUBLEofkWODCF8WH
 
1
Other values (995)
995 

Length

Max length18
Median length18
Mean length18
Min length18

Characters and Unicode

Total characters18000
Distinct characters62
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1000 ?
Unique (%)100.0%

Sample

1st rowGyzDVrIwQ5xu46V41P
2nd roweftzK0miNhNSXHeZ2g
3rd rowYhtUG12JQVi1g8pMSt
4th rowvMq9GjOjtxG17MsEhF
5th rowwpveFsRdvWJSOPjru9

Common Values

ValueCountFrequency (%)
GyzDVrIwQ5xu46V41P1
 
0.1%
qY6rCHpRqiMKaG7c2g1
 
0.1%
ti8abmGTUQ6SFFmlhC1
 
0.1%
OTAlJXaP9rZEJ64IuW1
 
0.1%
6RCUBLEofkWODCF8WH1
 
0.1%
wUG4yHYdFjZZpkSC981
 
0.1%
JLnZXJBr6WO2CW0JBd1
 
0.1%
oGaKl6eFNmbYsUIQ2O1
 
0.1%
2MfozLXMjGx4qzXxtO1
 
0.1%
zj97Qzp23evV4BsG1J1
 
0.1%
Other values (990)990
99.0%

Length

2022-07-14T13:34:39.244165image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
gyzdvriwq5xu46v41p1
 
0.1%
x5bhabdviupehtlhpy1
 
0.1%
wnlzdhikn5dfy3xbof1
 
0.1%
jf3egdhgtsoeg6je131
 
0.1%
yhtug12jqvi1g8pmst1
 
0.1%
vmq9gjojtxg17msehf1
 
0.1%
wpvefsrdvwjsopjru91
 
0.1%
joklszjcjuer6gzl4o1
 
0.1%
cr0mzjhnxbjd5olo9p1
 
0.1%
lagih8pbq7reqhnodv1
 
0.1%
Other values (990)990
99.0%

Most occurring characters

ValueCountFrequency (%)
S335
 
1.9%
J332
 
1.8%
n315
 
1.8%
C315
 
1.8%
d310
 
1.7%
p308
 
1.7%
f308
 
1.7%
O308
 
1.7%
i308
 
1.7%
7304
 
1.7%
Other values (52)14857
82.5%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter7617
42.3%
Lowercase Letter7551
41.9%
Decimal Number2832
 
15.7%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
S335
 
4.4%
J332
 
4.4%
C315
 
4.1%
O308
 
4.0%
E303
 
4.0%
F302
 
4.0%
B301
 
4.0%
Q301
 
4.0%
W300
 
3.9%
U299
 
3.9%
Other values (16)4521
59.4%
Lowercase Letter
ValueCountFrequency (%)
n315
 
4.2%
d310
 
4.1%
p308
 
4.1%
f308
 
4.1%
i308
 
4.1%
m302
 
4.0%
q301
 
4.0%
z301
 
4.0%
y298
 
3.9%
a296
 
3.9%
Other values (16)4504
59.6%
Decimal Number
ValueCountFrequency (%)
7304
10.7%
4302
10.7%
6295
10.4%
2288
10.2%
3287
10.1%
9286
10.1%
0283
10.0%
1275
9.7%
8259
9.1%
5253
8.9%

Most occurring scripts

ValueCountFrequency (%)
Latin15168
84.3%
Common2832
 
15.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
S335
 
2.2%
J332
 
2.2%
n315
 
2.1%
C315
 
2.1%
d310
 
2.0%
p308
 
2.0%
f308
 
2.0%
O308
 
2.0%
i308
 
2.0%
E303
 
2.0%
Other values (42)12026
79.3%
Common
ValueCountFrequency (%)
7304
10.7%
4302
10.7%
6295
10.4%
2288
10.2%
3287
10.1%
9286
10.1%
0283
10.0%
1275
9.7%
8259
9.1%
5253
8.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII18000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
S335
 
1.9%
J332
 
1.8%
n315
 
1.8%
C315
 
1.8%
d310
 
1.7%
p308
 
1.7%
f308
 
1.7%
O308
 
1.7%
i308
 
1.7%
7304
 
1.7%
Other values (52)14857
82.5%

FILLER
Categorical

HIGH CARDINALITY
UNIFORM
UNIQUE

Distinct1000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
dKZiEvttLkfuun5K47
 
1
K8rU0BmdOn5K6jq9p7
 
1
jcUPlHBCJK7Lj0fHBR
 
1
PkZjkMQoD0pWNdMKH6
 
1
jx7Mh7d0XHS7hwhzUV
 
1
Other values (995)
995 

Length

Max length18
Median length18
Mean length18
Min length18

Characters and Unicode

Total characters18000
Distinct characters62
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1000 ?
Unique (%)100.0%

Sample

1st rowdKZiEvttLkfuun5K47
2nd rowIhXS7RwMOAdSckS8Sw
3rd rowEdRw7wToVqMN33Z005
4th rowAYwUuDCYTRRmmg3S1G
5th rowzSfCwdlxlKOOTULRrw

Common Values

ValueCountFrequency (%)
dKZiEvttLkfuun5K471
 
0.1%
K8rU0BmdOn5K6jq9p71
 
0.1%
jcUPlHBCJK7Lj0fHBR1
 
0.1%
PkZjkMQoD0pWNdMKH61
 
0.1%
jx7Mh7d0XHS7hwhzUV1
 
0.1%
XHEyyA8WmXVBhNHNm41
 
0.1%
Jdtb88LEEvRKhAxcuu1
 
0.1%
yLZXycfO9V3av4efkN1
 
0.1%
GmshAe2axJN7PDDrp11
 
0.1%
c2yjVBOYyteOb8e4Rk1
 
0.1%
Other values (990)990
99.0%

Length

2022-07-14T13:34:39.357159image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
dkzievttlkfuun5k471
 
0.1%
ya9ckigkmaxiqisj5c1
 
0.1%
t3dbwfnhn5y8o0yqmx1
 
0.1%
w9ywdnhrmsvvgzo8yp1
 
0.1%
edrw7wtovqmn33z0051
 
0.1%
aywuudcytrrmmg3s1g1
 
0.1%
zsfcwdlxlkootulrrw1
 
0.1%
tzmjjts0n6kx0cb2yx1
 
0.1%
lk2ksuotrgairor1yb1
 
0.1%
r0wc2szmdstghsvecp1
 
0.1%
Other values (990)990
99.0%

Most occurring characters

ValueCountFrequency (%)
4325
 
1.8%
V318
 
1.8%
3316
 
1.8%
k314
 
1.7%
7313
 
1.7%
H312
 
1.7%
R311
 
1.7%
D309
 
1.7%
m308
 
1.7%
c306
 
1.7%
Other values (52)14868
82.6%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter7573
42.1%
Lowercase Letter7478
41.5%
Decimal Number2949
 
16.4%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
V318
 
4.2%
H312
 
4.1%
R311
 
4.1%
D309
 
4.1%
L304
 
4.0%
S302
 
4.0%
W300
 
4.0%
K297
 
3.9%
C295
 
3.9%
O294
 
3.9%
Other values (16)4531
59.8%
Lowercase Letter
ValueCountFrequency (%)
k314
 
4.2%
m308
 
4.1%
c306
 
4.1%
w299
 
4.0%
j298
 
4.0%
b296
 
4.0%
y295
 
3.9%
a293
 
3.9%
g293
 
3.9%
p291
 
3.9%
Other values (16)4485
60.0%
Decimal Number
ValueCountFrequency (%)
4325
11.0%
3316
10.7%
7313
10.6%
9300
10.2%
8291
9.9%
1287
9.7%
2282
9.6%
6280
9.5%
0278
9.4%
5277
9.4%

Most occurring scripts

ValueCountFrequency (%)
Latin15051
83.6%
Common2949
 
16.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
V318
 
2.1%
k314
 
2.1%
H312
 
2.1%
R311
 
2.1%
D309
 
2.1%
m308
 
2.0%
c306
 
2.0%
L304
 
2.0%
S302
 
2.0%
W300
 
2.0%
Other values (42)11967
79.5%
Common
ValueCountFrequency (%)
4325
11.0%
3316
10.7%
7313
10.6%
9300
10.2%
8291
9.9%
1287
9.7%
2282
9.6%
6280
9.5%
0278
9.4%
5277
9.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII18000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4325
 
1.8%
V318
 
1.8%
3316
 
1.8%
k314
 
1.7%
7313
 
1.7%
H312
 
1.7%
R311
 
1.7%
D309
 
1.7%
m308
 
1.7%
c306
 
1.7%
Other values (52)14868
82.6%

IDGPRG
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct1000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean500.5
Minimum1
Maximum1000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.9 KiB
2022-07-14T13:34:39.486789image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile50.95
Q1250.75
median500.5
Q3750.25
95-th percentile950.05
Maximum1000
Range999
Interquartile range (IQR)499.5

Descriptive statistics

Standard deviation288.8194361
Coefficient of variation (CV)0.5770618104
Kurtosis-1.2
Mean500.5
Median Absolute Deviation (MAD)250
Skewness0
Sum500500
Variance83416.66667
MonotonicityStrictly increasing
2022-07-14T13:34:39.634740image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11
 
0.1%
6721
 
0.1%
6591
 
0.1%
6601
 
0.1%
6611
 
0.1%
6621
 
0.1%
6631
 
0.1%
6641
 
0.1%
6651
 
0.1%
6661
 
0.1%
Other values (990)990
99.0%
ValueCountFrequency (%)
11
0.1%
21
0.1%
31
0.1%
41
0.1%
51
0.1%
61
0.1%
71
0.1%
81
0.1%
91
0.1%
101
0.1%
ValueCountFrequency (%)
10001
0.1%
9991
0.1%
9981
0.1%
9971
0.1%
9961
0.1%
9951
0.1%
9941
0.1%
9931
0.1%
9921
0.1%
9911
0.1%

SOCCLE
Categorical

HIGH CARDINALITY
UNIFORM
UNIQUE

Distinct1000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
8yCiLBlyZcIiXQgi0d
 
1
UHnuwfKGhZEXYA80oV
 
1
YKe6VMXwxIllxGqijk
 
1
Xy54BmoehcCQHbyziP
 
1
KpN9dmEFUbZ6fIwkbG
 
1
Other values (995)
995 

Length

Max length18
Median length18
Mean length18
Min length18

Characters and Unicode

Total characters18000
Distinct characters62
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1000 ?
Unique (%)100.0%

Sample

1st row8yCiLBlyZcIiXQgi0d
2nd rowkXwqCoEJshZdS1Z9i8
3rd rowFYI7Sg9hVsYzaF7PUk
4th rowV3ZpBAR4a1aV8UShAk
5th row76WVfWku5fIJQOJ06W

Common Values

ValueCountFrequency (%)
8yCiLBlyZcIiXQgi0d1
 
0.1%
UHnuwfKGhZEXYA80oV1
 
0.1%
YKe6VMXwxIllxGqijk1
 
0.1%
Xy54BmoehcCQHbyziP1
 
0.1%
KpN9dmEFUbZ6fIwkbG1
 
0.1%
z6JHe0hbcaH4nIhFqx1
 
0.1%
BtdDIyLsODlHQogrcg1
 
0.1%
I9FI1jpzlWHDdvdtZ61
 
0.1%
zWPk33vH2DaB9KN5tu1
 
0.1%
9Q5qq8RluqWzQl2dWI1
 
0.1%
Other values (990)990
99.0%

Length

2022-07-14T13:34:39.775961image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
8ycilblyzciixqgi0d1
 
0.1%
4q7c2mx0i3iffgmszh1
 
0.1%
qqoc8jsfiqdkixilec1
 
0.1%
m2ux1cup3kvuy67tt51
 
0.1%
fyi7sg9hvsyzaf7puk1
 
0.1%
v3zpbar4a1av8ushak1
 
0.1%
76wvfwku5fijqoj06w1
 
0.1%
0hsphcnlfkoanr9gtk1
 
0.1%
3zx49xyicthb5grimm1
 
0.1%
xy9naqp3ncjtcd78ex1
 
0.1%
Other values (990)990
99.0%

Most occurring characters

ValueCountFrequency (%)
9324
 
1.8%
u324
 
1.8%
F321
 
1.8%
s317
 
1.8%
x315
 
1.8%
c314
 
1.7%
m313
 
1.7%
n313
 
1.7%
h310
 
1.7%
8308
 
1.7%
Other values (52)14841
82.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter7693
42.7%
Uppercase Letter7489
41.6%
Decimal Number2818
 
15.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
u324
 
4.2%
s317
 
4.1%
x315
 
4.1%
c314
 
4.1%
m313
 
4.1%
n313
 
4.1%
h310
 
4.0%
d303
 
3.9%
y303
 
3.9%
r303
 
3.9%
Other values (16)4578
59.5%
Uppercase Letter
ValueCountFrequency (%)
F321
 
4.3%
H305
 
4.1%
A304
 
4.1%
T303
 
4.0%
R299
 
4.0%
W299
 
4.0%
Y299
 
4.0%
X298
 
4.0%
D297
 
4.0%
O295
 
3.9%
Other values (16)4469
59.7%
Decimal Number
ValueCountFrequency (%)
9324
11.5%
8308
10.9%
5299
10.6%
1283
10.0%
0278
9.9%
4275
9.8%
2274
9.7%
6266
9.4%
7265
9.4%
3246
8.7%

Most occurring scripts

ValueCountFrequency (%)
Latin15182
84.3%
Common2818
 
15.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
u324
 
2.1%
F321
 
2.1%
s317
 
2.1%
x315
 
2.1%
c314
 
2.1%
m313
 
2.1%
n313
 
2.1%
h310
 
2.0%
H305
 
2.0%
A304
 
2.0%
Other values (42)12046
79.3%
Common
ValueCountFrequency (%)
9324
11.5%
8308
10.9%
5299
10.6%
1283
10.0%
0278
9.9%
4275
9.8%
2274
9.7%
6266
9.4%
7265
9.4%
3246
8.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII18000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9324
 
1.8%
u324
 
1.8%
F321
 
1.8%
s317
 
1.8%
x315
 
1.8%
c314
 
1.7%
m313
 
1.7%
n313
 
1.7%
h310
 
1.7%
8308
 
1.7%
Other values (52)14841
82.5%

MATRIC
Categorical

HIGH CARDINALITY
UNIFORM
UNIQUE

Distinct1000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
YD6nKiNuN17Aw0OE0v
 
1
Ur395ZBEvnD5aRgxKQ
 
1
YOKXDGLgD0DEJdS706
 
1
lxWSoH9GsYThS8SLzv
 
1
3jusXzpT0BZc9xSU9f
 
1
Other values (995)
995 

Length

Max length18
Median length18
Mean length18
Min length18

Characters and Unicode

Total characters18000
Distinct characters62
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1000 ?
Unique (%)100.0%

Sample

1st rowYD6nKiNuN17Aw0OE0v
2nd row3kbReGaVIc4nfH5lOu
3rd rowJMmRlIQ3SNEkc3IlvT
4th rowE37SYVdYkFGqamuh8I
5th rowEhbgWdESAJLw3Wc25M

Common Values

ValueCountFrequency (%)
YD6nKiNuN17Aw0OE0v1
 
0.1%
Ur395ZBEvnD5aRgxKQ1
 
0.1%
YOKXDGLgD0DEJdS7061
 
0.1%
lxWSoH9GsYThS8SLzv1
 
0.1%
3jusXzpT0BZc9xSU9f1
 
0.1%
khy1eFwCInnWUyh6OO1
 
0.1%
GDxRTkSp0LeTD1uXS71
 
0.1%
YyZo6DJ3UcyhPtGtPm1
 
0.1%
9hWdSx4YBl4lMFFNd81
 
0.1%
lPPcLBDV8eMnw7pCDZ1
 
0.1%
Other values (990)990
99.0%

Length

2022-07-14T13:34:39.888389image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
yd6nkinun17aw0oe0v1
 
0.1%
fawhol5s7umyrmvltn1
 
0.1%
rpam95b6gcuqnm0fyc1
 
0.1%
xaqtpivsabvamespk31
 
0.1%
jmmrliq3snekc3ilvt1
 
0.1%
e37syvdykfgqamuh8i1
 
0.1%
ehbgwdesajlw3wc25m1
 
0.1%
7j4ormkbv57w2gt5rg1
 
0.1%
mlt5ljxpnadkzby7ga1
 
0.1%
qvya7afxdlfbzdvpi71
 
0.1%
Other values (990)990
99.0%

Most occurring characters

ValueCountFrequency (%)
M334
 
1.9%
o326
 
1.8%
9325
 
1.8%
Y319
 
1.8%
G317
 
1.8%
7317
 
1.8%
k316
 
1.8%
5313
 
1.7%
t312
 
1.7%
R311
 
1.7%
Other values (52)14810
82.3%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter7570
42.1%
Lowercase Letter7454
41.4%
Decimal Number2976
 
16.5%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
M334
 
4.4%
Y319
 
4.2%
G317
 
4.2%
R311
 
4.1%
S309
 
4.1%
T304
 
4.0%
H302
 
4.0%
D300
 
4.0%
A298
 
3.9%
N297
 
3.9%
Other values (16)4479
59.2%
Lowercase Letter
ValueCountFrequency (%)
o326
 
4.4%
k316
 
4.2%
t312
 
4.2%
f309
 
4.1%
y307
 
4.1%
e305
 
4.1%
q301
 
4.0%
u293
 
3.9%
m291
 
3.9%
r289
 
3.9%
Other values (16)4405
59.1%
Decimal Number
ValueCountFrequency (%)
9325
10.9%
7317
10.7%
5313
10.5%
1306
10.3%
8301
10.1%
6298
10.0%
4286
9.6%
3283
9.5%
0278
9.3%
2269
9.0%

Most occurring scripts

ValueCountFrequency (%)
Latin15024
83.5%
Common2976
 
16.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
M334
 
2.2%
o326
 
2.2%
Y319
 
2.1%
G317
 
2.1%
k316
 
2.1%
t312
 
2.1%
R311
 
2.1%
f309
 
2.1%
S309
 
2.1%
y307
 
2.0%
Other values (42)11864
79.0%
Common
ValueCountFrequency (%)
9325
10.9%
7317
10.7%
5313
10.5%
1306
10.3%
8301
10.1%
6298
10.0%
4286
9.6%
3283
9.5%
0278
9.3%
2269
9.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII18000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
M334
 
1.9%
o326
 
1.8%
9325
 
1.8%
Y319
 
1.8%
G317
 
1.8%
7317
 
1.8%
k316
 
1.8%
5313
 
1.7%
t312
 
1.7%
R311
 
1.7%
Other values (52)14810
82.3%

NUDOSP
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct1000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean500.5
Minimum1
Maximum1000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.9 KiB
2022-07-14T13:34:40.021757image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile50.95
Q1250.75
median500.5
Q3750.25
95-th percentile950.05
Maximum1000
Range999
Interquartile range (IQR)499.5

Descriptive statistics

Standard deviation288.8194361
Coefficient of variation (CV)0.5770618104
Kurtosis-1.2
Mean500.5
Median Absolute Deviation (MAD)250
Skewness0
Sum500500
Variance83416.66667
MonotonicityStrictly increasing
2022-07-14T13:34:40.435430image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11
 
0.1%
6721
 
0.1%
6591
 
0.1%
6601
 
0.1%
6611
 
0.1%
6621
 
0.1%
6631
 
0.1%
6641
 
0.1%
6651
 
0.1%
6661
 
0.1%
Other values (990)990
99.0%
ValueCountFrequency (%)
11
0.1%
21
0.1%
31
0.1%
41
0.1%
51
0.1%
61
0.1%
71
0.1%
81
0.1%
91
0.1%
101
0.1%
ValueCountFrequency (%)
10001
0.1%
9991
0.1%
9981
0.1%
9971
0.1%
9961
0.1%
9951
0.1%
9941
0.1%
9931
0.1%
9921
0.1%
9911
0.1%

IDSITU
Categorical

HIGH CARDINALITY
UNIFORM
UNIQUE

Distinct1000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
65xUvPditcRebY4oK6
 
1
IYJ9ZV33YrGtX5oRlz
 
1
IPSR7d20VyAquF5M1t
 
1
ZyWa2CRYUvyK5HeF9v
 
1
hYgoFZ9icXpEIedkUd
 
1
Other values (995)
995 

Length

Max length18
Median length18
Mean length18
Min length18

Characters and Unicode

Total characters18000
Distinct characters62
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1000 ?
Unique (%)100.0%

Sample

1st row65xUvPditcRebY4oK6
2nd row5DFoMjf44uH7pCrwEp
3rd rowwoXq9iCh6671ntsrd6
4th rowjK6V5rTm6EdFLpcs10
5th rowBWTTa8lRrtd6GU72kj

Common Values

ValueCountFrequency (%)
65xUvPditcRebY4oK61
 
0.1%
IYJ9ZV33YrGtX5oRlz1
 
0.1%
IPSR7d20VyAquF5M1t1
 
0.1%
ZyWa2CRYUvyK5HeF9v1
 
0.1%
hYgoFZ9icXpEIedkUd1
 
0.1%
hQxTuPC6iHwClvQDsj1
 
0.1%
SaDSyWJk23ZyCKpGrr1
 
0.1%
zhlWSnHGtD6twh4geN1
 
0.1%
gBAYUOPKkhD76ZdjrO1
 
0.1%
Vg1haZAsmvPaqgQPWO1
 
0.1%
Other values (990)990
99.0%

Length

2022-07-14T13:34:40.578428image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
65xuvpditcreby4ok61
 
0.1%
1calzeq023hpfgdgwl1
 
0.1%
bngsewyemwv0v4p3qy1
 
0.1%
v72atzxlrhowwtnsij1
 
0.1%
woxq9ich6671ntsrd61
 
0.1%
jk6v5rtm6edflpcs101
 
0.1%
bwtta8lrrtd6gu72kj1
 
0.1%
pr1tde4n6fwensenik1
 
0.1%
kby3ew34ywkiq3mbcm1
 
0.1%
sxdxwwp6qzzu0heion1
 
0.1%
Other values (990)990
99.0%

Most occurring characters

ValueCountFrequency (%)
8323
 
1.8%
a321
 
1.8%
Z319
 
1.8%
I318
 
1.8%
4318
 
1.8%
E317
 
1.8%
N317
 
1.8%
m314
 
1.7%
d310
 
1.7%
S309
 
1.7%
Other values (52)14834
82.4%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter7598
42.2%
Lowercase Letter7530
41.8%
Decimal Number2872
 
16.0%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a321
 
4.3%
m314
 
4.2%
d310
 
4.1%
c309
 
4.1%
i308
 
4.1%
s308
 
4.1%
f302
 
4.0%
j302
 
4.0%
r301
 
4.0%
n301
 
4.0%
Other values (16)4454
59.2%
Uppercase Letter
ValueCountFrequency (%)
Z319
 
4.2%
I318
 
4.2%
E317
 
4.2%
N317
 
4.2%
S309
 
4.1%
Q309
 
4.1%
Y305
 
4.0%
X303
 
4.0%
J302
 
4.0%
F296
 
3.9%
Other values (16)4503
59.3%
Decimal Number
ValueCountFrequency (%)
8323
11.2%
4318
11.1%
7305
10.6%
9289
10.1%
6287
10.0%
1283
9.9%
0271
9.4%
3271
9.4%
5266
9.3%
2259
9.0%

Most occurring scripts

ValueCountFrequency (%)
Latin15128
84.0%
Common2872
 
16.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
a321
 
2.1%
Z319
 
2.1%
I318
 
2.1%
E317
 
2.1%
N317
 
2.1%
m314
 
2.1%
d310
 
2.0%
S309
 
2.0%
Q309
 
2.0%
c309
 
2.0%
Other values (42)11985
79.2%
Common
ValueCountFrequency (%)
8323
11.2%
4318
11.1%
7305
10.6%
9289
10.1%
6287
10.0%
1283
9.9%
0271
9.4%
3271
9.4%
5266
9.3%
2259
9.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII18000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8323
 
1.8%
a321
 
1.8%
Z319
 
1.8%
I318
 
1.8%
4318
 
1.8%
E317
 
1.8%
N317
 
1.8%
m314
 
1.7%
d310
 
1.7%
S309
 
1.7%
Other values (52)14834
82.4%

PERPAI
Categorical

HIGH CARDINALITY
UNIFORM
UNIQUE

Distinct1000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
VVMTuc4AtLZZv95N5d
 
1
HQI5XeBL7QjBW5DAEn
 
1
oaTNsNMsJdW6ziCu9l
 
1
Jw5lQjz6Om4809K669
 
1
XcfztwrANoL2desPB2
 
1
Other values (995)
995 

Length

Max length18
Median length18
Mean length18
Min length18

Characters and Unicode

Total characters18000
Distinct characters62
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1000 ?
Unique (%)100.0%

Sample

1st rowVVMTuc4AtLZZv95N5d
2nd rowb44jBEKgkaAwrVdP9O
3rd rows5DsZHH7wPyXlcDD8d
4th rowtjOlI3wKNxifp8PR3s
5th rowQN3bkjTjcEONvbTkJJ

Common Values

ValueCountFrequency (%)
VVMTuc4AtLZZv95N5d1
 
0.1%
HQI5XeBL7QjBW5DAEn1
 
0.1%
oaTNsNMsJdW6ziCu9l1
 
0.1%
Jw5lQjz6Om4809K6691
 
0.1%
XcfztwrANoL2desPB21
 
0.1%
P9To1VMcVJJ2BHzGo51
 
0.1%
7YbN2yvedB5c5yllcK1
 
0.1%
rW7tvilEc3RYzpqWcJ1
 
0.1%
4jJBfFaKyaWVmEsfNb1
 
0.1%
UmeHVcd1yuxVI2i0vH1
 
0.1%
Other values (990)990
99.0%

Length

2022-07-14T13:34:40.692141image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
vvmtuc4atlzzv95n5d1
 
0.1%
kmwetm0v2jhtqwrany1
 
0.1%
l9c5g5pnf4y4aewu631
 
0.1%
ghfxy0bdvabupeneqn1
 
0.1%
s5dszhh7wpyxlcdd8d1
 
0.1%
tjoli3wknxifp8pr3s1
 
0.1%
qn3bkjtjceonvbtkjj1
 
0.1%
osov8mq2bvycvv19i61
 
0.1%
lez3vbrkkcufkpqpt61
 
0.1%
9iu1u4z7yomjyr19qi1
 
0.1%
Other values (990)990
99.0%

Most occurring characters

ValueCountFrequency (%)
Z329
 
1.8%
h315
 
1.8%
l314
 
1.7%
Y311
 
1.7%
N308
 
1.7%
V307
 
1.7%
K306
 
1.7%
c306
 
1.7%
4305
 
1.7%
O304
 
1.7%
Other values (52)14895
82.8%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter7642
42.5%
Lowercase Letter7534
41.9%
Decimal Number2824
 
15.7%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
Z329
 
4.3%
Y311
 
4.1%
N308
 
4.0%
V307
 
4.0%
K306
 
4.0%
O304
 
4.0%
L302
 
4.0%
W302
 
4.0%
E301
 
3.9%
D300
 
3.9%
Other values (16)4572
59.8%
Lowercase Letter
ValueCountFrequency (%)
h315
 
4.2%
l314
 
4.2%
c306
 
4.1%
k304
 
4.0%
j303
 
4.0%
n301
 
4.0%
u299
 
4.0%
o299
 
4.0%
r298
 
4.0%
t296
 
3.9%
Other values (16)4499
59.7%
Decimal Number
ValueCountFrequency (%)
4305
10.8%
2301
10.7%
5297
10.5%
0296
10.5%
8292
10.3%
7282
10.0%
9279
9.9%
3261
9.2%
6258
9.1%
1253
9.0%

Most occurring scripts

ValueCountFrequency (%)
Latin15176
84.3%
Common2824
 
15.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
Z329
 
2.2%
h315
 
2.1%
l314
 
2.1%
Y311
 
2.0%
N308
 
2.0%
V307
 
2.0%
K306
 
2.0%
c306
 
2.0%
O304
 
2.0%
k304
 
2.0%
Other values (42)12072
79.5%
Common
ValueCountFrequency (%)
4305
10.8%
2301
10.7%
5297
10.5%
0296
10.5%
8292
10.3%
7282
10.0%
9279
9.9%
3261
9.2%
6258
9.1%
1253
9.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII18000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
Z329
 
1.8%
h315
 
1.8%
l314
 
1.7%
Y311
 
1.7%
N308
 
1.7%
V307
 
1.7%
K306
 
1.7%
c306
 
1.7%
4305
 
1.7%
O304
 
1.7%
Other values (52)14895
82.8%

USAGEP
Categorical

HIGH CARDINALITY
UNIFORM
UNIQUE

Distinct1000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
BzEZ8TDbgyaX0WDm3s
 
1
b2xZh8ldYT1GzVizJ4
 
1
tOmWcIUFz6iFDxqDNG
 
1
B7rkqvSGFUIWENyrCN
 
1
vY54zWgq5mAE7BgfKN
 
1
Other values (995)
995 

Length

Max length18
Median length18
Mean length18
Min length18

Characters and Unicode

Total characters18000
Distinct characters62
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1000 ?
Unique (%)100.0%

Sample

1st rowBzEZ8TDbgyaX0WDm3s
2nd rowN7OrnSncxpEBXQYwZj
3rd rowRFgYkQLIVGMfE65Lnt
4th rowr3mzR1IlT53e9KcNFo
5th rowmFEFxEBChKirYsiIGg

Common Values

ValueCountFrequency (%)
BzEZ8TDbgyaX0WDm3s1
 
0.1%
b2xZh8ldYT1GzVizJ41
 
0.1%
tOmWcIUFz6iFDxqDNG1
 
0.1%
B7rkqvSGFUIWENyrCN1
 
0.1%
vY54zWgq5mAE7BgfKN1
 
0.1%
8g8z7MUGVl8GMT8acj1
 
0.1%
VGWuPvCuq6lg21ugdb1
 
0.1%
RiSaQXGsvJud5xmFem1
 
0.1%
FdArZp7ZN928piMUGR1
 
0.1%
7U1Y0htzGPa1p81rme1
 
0.1%
Other values (990)990
99.0%

Length

2022-07-14T13:34:40.808946image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
bzez8tdbgyax0wdm3s1
 
0.1%
sbjnp78kl256quyawm1
 
0.1%
y8kyj780qce5d6bpn61
 
0.1%
3plcztn1gzv8dy4jna1
 
0.1%
rfgykqlivgmfe65lnt1
 
0.1%
r3mzr1ilt53e9kcnfo1
 
0.1%
mfefxebchkirysiigg1
 
0.1%
froqwpubwniiv0mm8m1
 
0.1%
tpfu6utuazp6dv5xju1
 
0.1%
wmke2ftsid5kbos1eu1
 
0.1%
Other values (990)990
99.0%

Most occurring characters

ValueCountFrequency (%)
V331
 
1.8%
y319
 
1.8%
U314
 
1.7%
a312
 
1.7%
j310
 
1.7%
g309
 
1.7%
d308
 
1.7%
t306
 
1.7%
i305
 
1.7%
x305
 
1.7%
Other values (52)14881
82.7%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter7575
42.1%
Lowercase Letter7547
41.9%
Decimal Number2878
 
16.0%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
V331
 
4.4%
U314
 
4.1%
G304
 
4.0%
N304
 
4.0%
T302
 
4.0%
C301
 
4.0%
W301
 
4.0%
I300
 
4.0%
Y296
 
3.9%
S296
 
3.9%
Other values (16)4526
59.7%
Lowercase Letter
ValueCountFrequency (%)
y319
 
4.2%
a312
 
4.1%
j310
 
4.1%
g309
 
4.1%
d308
 
4.1%
t306
 
4.1%
i305
 
4.0%
x305
 
4.0%
p304
 
4.0%
w299
 
4.0%
Other values (16)4470
59.2%
Decimal Number
ValueCountFrequency (%)
4302
10.5%
1302
10.5%
5300
10.4%
3299
10.4%
2296
10.3%
8289
10.0%
6285
9.9%
7276
9.6%
0271
9.4%
9258
9.0%

Most occurring scripts

ValueCountFrequency (%)
Latin15122
84.0%
Common2878
 
16.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
V331
 
2.2%
y319
 
2.1%
U314
 
2.1%
a312
 
2.1%
j310
 
2.0%
g309
 
2.0%
d308
 
2.0%
t306
 
2.0%
i305
 
2.0%
x305
 
2.0%
Other values (42)12003
79.4%
Common
ValueCountFrequency (%)
4302
10.5%
1302
10.5%
5300
10.4%
3299
10.4%
2296
10.3%
8289
10.0%
6285
9.9%
7276
9.6%
0271
9.4%
9258
9.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII18000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
V331
 
1.8%
y319
 
1.8%
U314
 
1.7%
a312
 
1.7%
j310
 
1.7%
g309
 
1.7%
d308
 
1.7%
t306
 
1.7%
i305
 
1.7%
x305
 
1.7%
Other values (52)14881
82.7%

NUMTRT
Categorical

HIGH CARDINALITY
UNIFORM
UNIQUE

Distinct1000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
VEjeRYOgyszO1387Rz
 
1
ou8BWFOAlRMq0SHL2g
 
1
gUsOfD9VYCSFZqR0W3
 
1
g09D4dMGoq83nFRsot
 
1
SqynC4FCVkjJsUnKhL
 
1
Other values (995)
995 

Length

Max length18
Median length18
Mean length18
Min length18

Characters and Unicode

Total characters18000
Distinct characters62
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1000 ?
Unique (%)100.0%

Sample

1st rowVEjeRYOgyszO1387Rz
2nd rowS2Fdkl4pURopTc6lEX
3rd rowKEfTIbDJV9sf3VGL1M
4th rowv2gUkGMfB33vXlS9JM
5th rowfEkvUdy6CaGXQm3yPg

Common Values

ValueCountFrequency (%)
VEjeRYOgyszO1387Rz1
 
0.1%
ou8BWFOAlRMq0SHL2g1
 
0.1%
gUsOfD9VYCSFZqR0W31
 
0.1%
g09D4dMGoq83nFRsot1
 
0.1%
SqynC4FCVkjJsUnKhL1
 
0.1%
Ei4MsbBTcMNsubYPfU1
 
0.1%
yyi1AZ5UkW8Wke92xc1
 
0.1%
8oz5dT2pNe2nFjhytW1
 
0.1%
VJQ0tQYVQwE5QmyRFt1
 
0.1%
iiaayTkBk2eGcGYsjk1
 
0.1%
Other values (990)990
99.0%

Length

2022-07-14T13:34:40.922871image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
vejeryogyszo1387rz1
 
0.1%
ybadb1qbbpaxtfkc9f1
 
0.1%
obfo9ghxzi125vyxbq1
 
0.1%
nak8zmjru8nlcxcmdc1
 
0.1%
keftibdjv9sf3vgl1m1
 
0.1%
v2gukgmfb33vxls9jm1
 
0.1%
fekvudy6cagxqm3ypg1
 
0.1%
ssw1kyfoafuebf9yff1
 
0.1%
0xvclblylvfx2pdmlj1
 
0.1%
b0irqex5coj3co7rrj1
 
0.1%
Other values (990)990
99.0%

Most occurring characters

ValueCountFrequency (%)
4337
 
1.9%
b325
 
1.8%
e321
 
1.8%
0320
 
1.8%
J317
 
1.8%
z315
 
1.8%
F315
 
1.8%
8315
 
1.8%
o312
 
1.7%
Q312
 
1.7%
Other values (52)14811
82.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter7599
42.2%
Uppercase Letter7421
41.2%
Decimal Number2980
 
16.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
b325
 
4.3%
e321
 
4.2%
z315
 
4.1%
o312
 
4.1%
k311
 
4.1%
x304
 
4.0%
g303
 
4.0%
q302
 
4.0%
t300
 
3.9%
a299
 
3.9%
Other values (16)4507
59.3%
Uppercase Letter
ValueCountFrequency (%)
J317
 
4.3%
F315
 
4.2%
Q312
 
4.2%
M302
 
4.1%
O302
 
4.1%
G301
 
4.1%
C300
 
4.0%
E299
 
4.0%
A292
 
3.9%
N291
 
3.9%
Other values (16)4390
59.2%
Decimal Number
ValueCountFrequency (%)
4337
11.3%
0320
10.7%
8315
10.6%
5308
10.3%
3295
9.9%
2291
9.8%
6286
9.6%
9284
9.5%
1273
9.2%
7271
9.1%

Most occurring scripts

ValueCountFrequency (%)
Latin15020
83.4%
Common2980
 
16.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
b325
 
2.2%
e321
 
2.1%
J317
 
2.1%
z315
 
2.1%
F315
 
2.1%
o312
 
2.1%
Q312
 
2.1%
k311
 
2.1%
x304
 
2.0%
g303
 
2.0%
Other values (42)11885
79.1%
Common
ValueCountFrequency (%)
4337
11.3%
0320
10.7%
8315
10.6%
5308
10.3%
3295
9.9%
2291
9.8%
6286
9.6%
9284
9.5%
1273
9.2%
7271
9.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII18000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4337
 
1.9%
b325
 
1.8%
e321
 
1.8%
0320
 
1.8%
J317
 
1.8%
z315
 
1.8%
F315
 
1.8%
8315
 
1.8%
o312
 
1.7%
Q312
 
1.7%
Other values (52)14811
82.3%

NUMBUL
Categorical

HIGH CARDINALITY
UNIFORM
UNIQUE

Distinct1000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
tvLOV3UAWKEpzf9SEG
 
1
VFKqoINH3mNJSUbLxW
 
1
LasjYRBjSDHGecsu0q
 
1
1CFzqjtKWjlmL9wfgx
 
1
2MPLGxG1zHFGcslLVs
 
1
Other values (995)
995 

Length

Max length18
Median length18
Mean length18
Min length18

Characters and Unicode

Total characters18000
Distinct characters62
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1000 ?
Unique (%)100.0%

Sample

1st rowtvLOV3UAWKEpzf9SEG
2nd rowC6zcaktbjmrGSbC7g8
3rd rowhY4XH4BdRl9KKZXJlM
4th rowl8SnRqKMr26Epc9KS1
5th rowKRKwcbYbpkEWzDEU7F

Common Values

ValueCountFrequency (%)
tvLOV3UAWKEpzf9SEG1
 
0.1%
VFKqoINH3mNJSUbLxW1
 
0.1%
LasjYRBjSDHGecsu0q1
 
0.1%
1CFzqjtKWjlmL9wfgx1
 
0.1%
2MPLGxG1zHFGcslLVs1
 
0.1%
amd5yX5HdFLzfOdTpi1
 
0.1%
lARX5e67RXR7OY0Rgp1
 
0.1%
087fWuwy4hkDZYXRII1
 
0.1%
xHEkvNNIxu5e9Xbrrd1
 
0.1%
S5YKi3YfPRL7xFM14v1
 
0.1%
Other values (990)990
99.0%

Length

2022-07-14T13:34:41.033991image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
tvlov3uawkepzf9seg1
 
0.1%
pytoq4unaxjni98w1z1
 
0.1%
tggt2qg57jegbjytje1
 
0.1%
tsw2nsei3xgk0cfwsk1
 
0.1%
hy4xh4bdrl9kkzxjlm1
 
0.1%
l8snrqkmr26epc9ks11
 
0.1%
krkwcbybpkewzdeu7f1
 
0.1%
05fuhxu7xmctfprkuh1
 
0.1%
mvkvnjoonysfluhr4g1
 
0.1%
z0uvx4oczscy54gps31
 
0.1%
Other values (990)990
99.0%

Most occurring characters

ValueCountFrequency (%)
4336
 
1.9%
D317
 
1.8%
N315
 
1.8%
P314
 
1.7%
n314
 
1.7%
w313
 
1.7%
C312
 
1.7%
z312
 
1.7%
f312
 
1.7%
x308
 
1.7%
Other values (52)14847
82.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter7560
42.0%
Uppercase Letter7531
41.8%
Decimal Number2909
 
16.2%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
D317
 
4.2%
N315
 
4.2%
P314
 
4.2%
C312
 
4.1%
B305
 
4.0%
T305
 
4.0%
Z303
 
4.0%
I302
 
4.0%
E302
 
4.0%
F298
 
4.0%
Other values (16)4458
59.2%
Lowercase Letter
ValueCountFrequency (%)
n314
 
4.2%
w313
 
4.1%
z312
 
4.1%
f312
 
4.1%
x308
 
4.1%
u308
 
4.1%
a307
 
4.1%
q302
 
4.0%
e299
 
4.0%
y296
 
3.9%
Other values (16)4489
59.4%
Decimal Number
ValueCountFrequency (%)
4336
11.6%
9305
10.5%
1304
10.5%
5301
10.3%
0283
9.7%
8280
9.6%
3278
9.6%
2278
9.6%
7273
9.4%
6271
9.3%

Most occurring scripts

ValueCountFrequency (%)
Latin15091
83.8%
Common2909
 
16.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
D317
 
2.1%
N315
 
2.1%
P314
 
2.1%
n314
 
2.1%
w313
 
2.1%
C312
 
2.1%
z312
 
2.1%
f312
 
2.1%
x308
 
2.0%
u308
 
2.0%
Other values (42)11966
79.3%
Common
ValueCountFrequency (%)
4336
11.6%
9305
10.5%
1304
10.5%
5301
10.3%
0283
9.7%
8280
9.6%
3278
9.6%
2278
9.6%
7273
9.4%
6271
9.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII18000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4336
 
1.9%
D317
 
1.8%
N315
 
1.8%
P314
 
1.7%
n314
 
1.7%
w313
 
1.7%
C312
 
1.7%
z312
 
1.7%
f312
 
1.7%
x308
 
1.7%
Other values (52)14847
82.5%

TIMEST
Categorical

HIGH CARDINALITY
UNIFORM

Distinct334
Distinct (%)33.4%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
4/1/2022
 
8
1/10/2022
 
8
7/24/2021
 
7
3/8/2022
 
7
9/21/2021
 
7
Other values (329)
963 

Length

Max length10
Median length9
Mean length8.929
Min length8

Characters and Unicode

Total characters8929
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique48 ?
Unique (%)4.8%

Sample

1st row4/10/2022
2nd row4/13/2022
3rd row4/2/2022
4th row5/8/2022
5th row12/25/2021

Common Values

ValueCountFrequency (%)
4/1/20228
 
0.8%
1/10/20228
 
0.8%
7/24/20217
 
0.7%
3/8/20227
 
0.7%
9/21/20217
 
0.7%
8/8/20216
 
0.6%
9/6/20216
 
0.6%
2/6/20226
 
0.6%
8/12/20216
 
0.6%
2/22/20226
 
0.6%
Other values (324)933
93.3%

Length

2022-07-14T13:34:41.159396image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
4/1/20228
 
0.8%
1/10/20228
 
0.8%
7/24/20217
 
0.7%
3/8/20227
 
0.7%
9/21/20217
 
0.7%
3/24/20226
 
0.6%
12/23/20216
 
0.6%
9/11/20216
 
0.6%
5/12/20226
 
0.6%
5/2/20226
 
0.6%
Other values (324)933
93.3%

Most occurring characters

ValueCountFrequency (%)
23066
34.3%
/2000
22.4%
11334
14.9%
01200
 
13.4%
8211
 
2.4%
3204
 
2.3%
7192
 
2.2%
4187
 
2.1%
5181
 
2.0%
9180
 
2.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number6929
77.6%
Other Punctuation2000
 
22.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
23066
44.2%
11334
19.3%
01200
 
17.3%
8211
 
3.0%
3204
 
2.9%
7192
 
2.8%
4187
 
2.7%
5181
 
2.6%
9180
 
2.6%
6174
 
2.5%
Other Punctuation
ValueCountFrequency (%)
/2000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common8929
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
23066
34.3%
/2000
22.4%
11334
14.9%
01200
 
13.4%
8211
 
2.4%
3204
 
2.3%
7192
 
2.2%
4187
 
2.1%
5181
 
2.0%
9180
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII8929
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
23066
34.3%
/2000
22.4%
11334
14.9%
01200
 
13.4%
8211
 
2.4%
3204
 
2.3%
7192
 
2.2%
4187
 
2.1%
5181
 
2.0%
9180
 
2.0%

Interactions

2022-07-14T13:34:30.473705image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-07-14T13:34:27.630604image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-07-14T13:34:28.381550image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-07-14T13:34:29.082885image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-07-14T13:34:29.780127image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-07-14T13:34:30.610381image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-07-14T13:34:27.790727image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-07-14T13:34:28.518976image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-07-14T13:34:29.224220image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-07-14T13:34:29.922493image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-07-14T13:34:30.748260image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-07-14T13:34:27.940278image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-07-14T13:34:28.664925image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-07-14T13:34:29.362631image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-07-14T13:34:30.059360image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-07-14T13:34:31.012729image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-07-14T13:34:28.084565image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-07-14T13:34:28.809566image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-07-14T13:34:29.500884image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-07-14T13:34:30.199106image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-07-14T13:34:31.153557image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-07-14T13:34:28.234344image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-07-14T13:34:28.947054image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-07-14T13:34:29.635100image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-07-14T13:34:30.335191image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Correlations

2022-07-14T13:34:41.284850image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2022-07-14T13:34:41.480757image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2022-07-14T13:34:41.672169image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2022-07-14T13:34:41.859533image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Missing values

2022-07-14T13:34:31.582462image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2022-07-14T13:34:32.861290image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

Sample

First rows

NUDOSSNULIGNSOCDOSPGPDOSCODLANDATENTDATSORPHYSORMDCDENCODENTREPENTLIBENTMDCDSOCODSORREPSORLIBSORMDCGSTCGSTHIREPCGSLIBCGSMDRSSTRSSTHIREPRSSLIBRSSMDCGSSCGSTATREPCSTLIBCSTMDRSSSRSSTATREPRSTLIBRSTANCIENDATEUTANCIE3ANCIE4ANCIE5ANCIE6ANCIE7ANCIE8ANCIE9ANCIE0LIBMATFILLERIDGPRGSOCCLEMATRICNUDOSPIDSITUPERPAIUSAGEPNUMTRTNUMBULTIMEST
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
677NaN7NaN10/6/202112/7/20213/3/2022N5VDxkZFPeS0ydXaWTm8YCqpKRa3Wu3kbedYWSqGu9D8eFpJhv0neX3Rd45RarsETCG2lxMQzAVZ37vFGH9NWZhVXe6fSJEDwJ4pSfIWONq9GY4vD31dpLK29o0MGr9YsyQtk4xB2iAPWc6rf6HcojeoxvPYqkuqIaB87KIUZcQo9xBVxYcUDhgQZFJKO0FbsZcX6LjviyiT84mAIgyenIc95OPhCiYqDlqvaoj2PR2WbStaZWBPZ28FiqTNkfYJb1yJO9XebZ4ByIs54zHJvyZKWI0gbpaZcfhkjCywt4KaVAbTGc6zDg0Y3iLc2P3eSKYwmI9jzJgWqBXY2BZrTPnP55aJkQaQmawMzmSetamSSPLf92WITDCIkZjor0mBKbYdJz1ax0BCEWVdD1JpThTgRB3SyKYejdbpAcxZL9EMLS057/24/202112/26/20214/29/20225/10/20222/24/20226/30/202211/18/202112/30/20218/10/202110/3/2021cR0mzJHnXbJD5Olo9pLk2ksuotrgAiroR1yb73Zx49XyicThB5GRIMMmlt5ljXpNAdKZbY7ga7kby3Ew34yWKIQ3MBcmlEz3VBrKKcufKPQPT6TpFU6UtUAzp6dv5xJU0xVcLblylVFx2pDMljMVKvnjOONYsflUhr4G12/13/2021
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

Last rows

NUDOSSNULIGNSOCDOSPGPDOSCODLANDATENTDATSORPHYSORMDCDENCODENTREPENTLIBENTMDCDSOCODSORREPSORLIBSORMDCGSTCGSTHIREPCGSLIBCGSMDRSSTRSSTHIREPRSSLIBRSSMDCGSSCGSTATREPCSTLIBCSTMDRSSSRSSTATREPRSTLIBRSTANCIENDATEUTANCIE3ANCIE4ANCIE5ANCIE6ANCIE7ANCIE8ANCIE9ANCIE0LIBMATFILLERIDGPRGSOCCLEMATRICNUDOSPIDSITUPERPAIUSAGEPNUMTRTNUMBULTIMEST
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